Computer application technology specialty now has two disciplines: computer application technology doctoral program and master program, and the training methods include master program, doctoral program and early doctoral program. In 2002, it was approved as a national key discipline of computer application technology, and in 2003, it was approved to establish a postdoctoral mobile station of computer application technology. The postgraduate education system is three years and the credit system is implemented. In 2005, the enrollment scale was 30. The academic system of doctoral students is two years and the credit system is implemented. The enrollment scale in 2005 was 12.
In recent years, this discipline has been funded by 2 1 1 project and national key disciplines, and the software and hardware facilities have been fundamentally improved, forming a talent highland in the main research direction.
Two. Introduction to the research direction of the subject
His main research interests are computational intelligence and knowledge engineering, including quotient space theory and its application in problem solving, granular computing theory and its application based on quotient space theory, constructive machine learning theory and its application, optimization theory and method, new hierarchical machine learning theory and method, and complex system optimization technology and method. , has made a number of original scientific research achievements that have important influence at home and abroad.
Three. Professional courses
1. degree course
English, theory and practice of scientific socialism, introduction to dialectics of nature, combinatorial mathematics, algorithm design and analysis, advanced database system, mathematical theory of computer science, artificial neural network theory and application, advanced courses of artificial intelligence, advanced database technology, etc.
2. Non-degree courses
Parallel computing, intelligent computing, computer vision, knowledge discovery, expert system and its development environment, optimization theory and method, constructive learning theory and method, data warehouse and data acquisition, etc.
Fourth, the discipline tutor team
Zhang Ling: Male, born in May, 1937, from Fuqing, Fujian, graduated from the Department of Mathematics and Astronomy of Nanjing University in196/kloc-0. In the same year, he was assigned to work in Anhui and taught in four universities in Anhui. 65438-0993 transferred to the Institute of Artificial Intelligence of Anhui University as director, professor and doctoral supervisor. 1April, 986, promoted from lecturer to full professor; /kloc-0 was awarded the title of young and middle-aged expert with outstanding contributions by the state in June, 1988; June 199 1, enjoy special state allowance; He has been hired as a visiting professor by Tsinghua University, Zhejiang University, Tongji University and Institute of Intelligence of China Academy of Sciences. Won the honorary title: since the reform and opening up, he has won the honorary title of model worker in the national education system at or above the provincial level for 8 times; Ten academic awards at or above the provincial level, such as the National Natural Science Award; 1978 won the achievement award of the first science and technology conference in Anhui province; 1984 won the 6th ICL European Artificial Intelligence Award; 1987 won the first prize of scientific and technological progress of the state education commission; 199 1 won the second prize of scientific and technological progress of the state education commission; 1992 monograph "theory and application of problem solving" won the special prize of excellent academic monograph of national university press; 1992 monograph "frontier research of new generation computing technology" won the first prize of national excellent scientific and technological books; 1993 won the first prize of scientific and technological progress of the Ministry of Electronic Industry; 1995 won the third prize of national natural science; 1999 won the first prize of "National Excellent Science and Technology Book Award" and "Science and Technology Progress Award (Science and Technology Works)"; 1999 won the second prize of Anhui natural science. At present, the main research directions are: quotient space granular computing theory (one of the three major granular computing theories in the world at present), intelligent computing, machine learning theory and methods, etc.
Cheng Jiaxing: Male, Ph.D. professor at the University of South Australia, director of the Key Laboratory of Computational Intelligence and Signal Processing of Anhui University, doctoral supervisor, executive director of Anhui Computer Society, and researcher at SCG Institute of the University of South Australia, Australia. He presided over and participated in projects such as the National Natural Science Foundation, the China-Australia Special Fund of the National Natural Science Foundation, the "Outstanding Young Teachers Funding Program" of the Ministry of Education, and the Doctoral Program Fund of the Ministry of Education. Establish international cooperation with the University of South Australia in Australia. Research interests: intelligent computing, algorithm analysis and design, optimization methods. Won the third prize of scientific and technological progress in colleges and universities in Anhui Province, and the second prize of the third outstanding academic paper of natural science in Anhui Province. At present, there are 5 doctoral students and 9 master students. The main courses are concrete mathematics, intelligent computing, optimization theory and method, combinatorial mathematics and undergraduate discrete mathematics teaching courses.
Zhang Yanping: female, born in 1962.2, Chaohu, Anhui; 198 1 Graduated from Shanghai University of Electric Power, majoring in thermal automation; 1989 Master of Engineering as a graduate student of Institute of Microcomputer Application, Hefei University of Technology; From September 2000 to July 2003, I studied for a doctorate in Anhui University and obtained a doctorate in computer application. In June 2000, he served as an associate professor in the Computer Department of Anhui University; In 2003, he served as a tutor for master students majoring in computer application; June 2004: 65438-1October: 065438 as a professor. Presided over the completion of the Anhui Provincial Department of Education 1 natural science research project and participated in several national natural science foundation projects. In 2004, he won the second prize of Anhui Science and Technology Progress Award. Published academic papers 18 in national key journals and national journals such as China Computer Journal and Computer Research and Development.
Wang Jiwen: Male, born in September, 1958, from Susong, Anhui. 1982 1 Graduated from the Mathematics Department of Anqing Normal University with a Bachelor of Science. June 65438+July 0989 Graduated from Mathematics Department of Anhui University with Master of Science. July, 200012000, Ph.D. in Mathematics from China University of Science and Technology. 200 1. 12 entered the State Key Laboratory of Fire Science of Postdoctoral Mobile Station of Power Engineering and Engineering Thermophysics of China University of Science and Technology as a postdoctoral fellow. He left the station in August 2004 and obtained a postdoctoral certificate. 1982.1-1986.9 teaches in the Mathematics Department of Anqing Normal University. 1989 After graduating with a master's degree in July, he stayed in the Computer College of Anhui University (formerly the Computer Department) to teach. In June, 20001year, he served as a tutor for master students and was hired as a professor in September, 2002. In February, 2002, he was selected as the training object of young and middle-aged academic leaders in colleges and universities in Anhui Province. He won the teaching Excellence Award three times and the third prize of scientific and technological progress in Anhui universities once. At present, the main research direction is computer numerical simulation technology. He has participated in 5 projects of the National Natural Science Foundation and presided over 2 projects of the Provincial Education Commission. At present, he is participating in a national natural science foundation project and presiding over a provincial natural science foundation project. 28 academic papers were published and 4 papers were included in SCI. 1. Intelligent software
Professor Li Longshu, academic leader, doctoral supervisor. His main research interests are software architecture, imprecise knowledge representation and intelligent agent technology, and he has published more than 50 research papers. The main systems he presided over are: agricultural meteorological decision support system, large database management system, e-government system and network information management system.
Research on software architecture: explore the inheritance mechanism and abstract principle of knowledge, integrate the database, model base and method base of intelligent software system, and introduce the hierarchical structure of knowledge to enhance the usability and maintenance efficiency of the system. Completed the national "863" project "Software Components for Guiding Crop Planting Management Based on Meteorological Analysis", presided over the National Natural Science Foundation project "Research on Intelligent Software Architecture and Component Technology", deeply studied the fuzzy quotient structure theory, applied the granular computing theory to construct the software architecture model, and put forward the intelligent software architecture model based on quotient space. The research results have been widely used in GIS systems such as agrometeorology, river pollution, highway management and coal mine rescue.
Research on imprecise knowledge representation: the characteristics of imprecise knowledge representation are deeply studied, and the framework of information processing system and the scheme of data reduction and knowledge discovery suitable for domain characteristics are put forward to promote the development of knowledge base system development technology. Developing a new intelligent software architecture suitable for fuzzy rough set information processing not only has important academic value, but also has irreplaceable significant effect in agrometeorological analysis and application. Combined with agrometeorological information, the characteristics and advantages of fuzzy rough set are analyzed, and a component model suitable for knowledge processing is developed, which is used to build practical decision support systems for disaster reduction and prevention, crop management and so on, and has produced great social and economic benefits.
Research on intelligent agent technology: Agent architecture is an important research direction in intelligent agent research. The problem to be solved is which modules the intelligent agent consists of, how to exchange information between these modules, and how to combine these modules into an organic whole through software or hardware. Combined with the national "863" project, the National Natural Science Foundation project and other major scientific research projects, and the completion of RoboCup (Robot World Cup), data mining and intelligent decision support system based on Agent technology are carried out for data warehouses of large and medium-sized enterprises, which has produced great social and economic benefits for Anhui's modernization.
2. Database and network technology
Dr Cheng Zheng, academic leader and associate professor. In February 2002, he graduated from the Computer Department of China University of Science and Technology with a doctorate. His research interests include database and data warehouse technology, knowledge discovery and data mining technology, artificial intelligence and machine learning, and the new generation of Web technology. Since September 2005, I have been doing postdoctoral research (on-the-job) in the postdoctoral mobile station of computer science and technology in Anhui University. Young and middle-aged backbone teachers in Anhui University are the training targets of backbone teachers in Anhui universities. In recent years, as the main backbone, he has participated in 4 projects including National Natural Science Foundation, 863 Program and Anhui Natural Science Foundation. He presided over 2 natural science research projects of the Provincial Education Department and published more than 20 academic papers.
Direction of database and Web technology: research database and data warehouse and their application technology, data mining technology based on database and data warehouse, research multi-granularity data mining technology and apply it to tax, network security and other fields; Research semantic Web technology, and introduce relevant intelligent technologies into the Web, so that computers can understand the information on the Web.
3. Parallel computing
Liu Feng, the academic leader, is a doctor and professor. Main research interests: software engineering, parallel computing, grid computing, and undertaking a number of national natural fund projects, scientific research projects of the Ministry of Education, natural fund projects of Anhui Province, and natural fund projects of the Education Department of Anhui Province.
The main works published recently:
1. Pattern layout of gate array based on improved genetic algorithm
2. Finding the Root of Complex Variable Function Equation by Genetic Algorithm Computer Engineering and Application 200 1 Volume 37, Issue 24
3. Parallel Genetic Algorithm for Solving the Roots of Complex Variable Function Equation in 3.PVM Environment. No.7 Microcomputer System, 2003
4. The application of MIT of 4.Oracle database in business accounting system. Telecommunication technology 200 1.9.
5. Similarities and differences between electronic publications and paper publications Information Science 200 1.7
6. Design and Implementation of Equation Rooting Algorithm Based on Genetic Algorithm (EI) Control Theory and Application, No.3, 2004.
7. Overview of Internet QoS control mechanism Computer Science 2002.3.
8. Microcomputer development of polynomial root algorithm based on distribution theory and genetic algorithm 200 16.
9. Real-time Adjustment of Grid Computing Performance Based on Agent Computer Engineering and Application, No.39, 2003
10. Design and implementation of finding the roots of complex variable function equation by parallel genetic algorithm (EI), System Engineering Theory and Practice, No.6, 2004
4. Middleware technology
Academic leader Zou Hai, Ph.D., senior engineer. From 20065438 to July 2003, he worked as a postdoctoral researcher in Post-Doctoral Research Center of Electrical Engineering (Information and Electronic Technology) of China University of Mining and Technology. In recent years, I have mainly devoted myself to the research of rough set theory, knowledge acquisition and middleware technology in fuzzy and random environments. He has presided over or participated in the completion of National Natural Science Foundation projects 1, 948 projects 1, 2 provincial and ministerial natural science foundation projects and more than 0 horizontal cooperation projects1. At present, he is working on 1 Provincial Young Teachers Fund Project and 1 Provincial Education Department Natural Science Fund Project, winning three provincial and ministerial scientific and technological progress awards and publishing 65,438 papers. In recent years, it has undertaken the design and development of several application systems, such as the expert system for late Mesozoic resource prediction in Northeast China, the real-time monitoring data acquisition system for dam construction, the remote distributed telemetry system based on network communication, the flood control and drought relief dispatching command system based on data mining, and the customer relationship management system based on B/S/S architecture, which have been successfully applied.
Research on rough set theory and knowledge acquisition in fuzzy random environment: In view of the characteristics of information recognition that there are a lot of incomplete information and random environment, combined with the rough set theory developed rapidly in the field of intelligent information processing in recent years, the representation, reduction, learning, induction and reasoning of incomplete information in complex systems and their random environments are deeply studied.
Research on Middleware Technology: Middleware technology, as the basic software developed in the early 1990s, has gradually become an important supporting tool for building a network distributed application system in recent years. It can solve the problem of interconnection and sharing of heterogeneous data resources in the network distributed computing environment, and realize the cooperative work of various application software. The research direction involves the architecture and mechanism of distributed high-performance and high-reliability enterprise-level basic software platform, application integration architecture and technology, J2EE application server, workflow technology, mobile middleware technology, reflection middleware technology, embedded middleware technology, network plug-and-play middleware technology, pervasive computing middleware technology, grid computing middleware technology, CORBA advanced technology and so on. At present, middleware, together with operating system, database and front-end application software, has become the key software of distributed application. Can be widely used in government departments, banks, securities, electricity, telecommunications, transportation and military and other key network distribution applications. First, the initial recruitment time of graduate students and the scale of graduate students in school
Initial recruitment time: 2002
Size of graduate students: about 60 people.
Second, the introduction of mentor echelon.
1. computer vision and its application direction
Wei Sui: Vice President and Professor of Anhui University, Vice President of China Image and Graphics Society, member of Information Department of Science Committee of Ministry of Education, and a visiting scholar at University of Michigan and Virginia Tech from April 6 to September 6, 2008. Long-term engaged in computer vision, image graphics, pattern recognition, mathematical morphology, holographic imaging and other work. In recent years, he has undertaken a number of national natural science foundation projects and 863 projects. Among them, the large-capacity fast image analysis system (person in charge) won the second prize of scientific and technological progress of China Academy of Sciences; And won the title of advanced worker of intelligent robot in the National 863 Program and the title of advanced worker in the National 863 Program awarded by the Ministry of Science and Technology. The research of the 863 project "Assembly Help System Based on VR Technology" (the person in charge) was accepted by the 863 expert group in 2000, and the results of this project played a pioneering role in the research in this field. The national natural fund project "Research on projective reconstruction algorithm based on SVD decomposition" has achieved some research results in graphics, such as multi-view geometry, three-dimensional reconstruction and image-based rendering, image acquisition geometry, reducing computational complexity, and realizing three-dimensional description and display of complex scenes. In 2002, he presided over the second annual meeting of the International Society for Image and Graphics, edited two conference proceedings, most of which were included by EI, and translated and published Multi-view Geometry in Computer Vision (authorized by Cambridge University Press and original authors Richard Hartley and Mann).
Liang Dong: Doctor, professor (doctoral supervisor), vice president of School of Electronic Science and Technology, Anhui University. 1985 and 1990 received bachelor's and master's degrees from Anhui university, and in 2002, they received a doctorate in computer application technology from Anhui university. 199 1 was promoted to lecturer of Anhui university, 1996 was promoted to associate professor of Anhui university, and in 2002 he was promoted to professor of Anhui university. 1995 was awarded as the training object of young and middle-aged backbone teachers in Anhui University and Anhui Province, and in 2002 it was awarded as the training object of young and middle-aged academic leaders in colleges and universities in Anhui Province. In recent years, he has published more than 30 academic papers in academic journals and conferences at home and abroad, presided over and participated in more than 20 scientific research projects such as Anhui Natural Science Foundation, National Natural Science Foundation, National 863 Program, and Technology Innovation Fund of Science and Technology SMEs of Ministry of Science and Technology, and successively won the fourth prize of Anhui Science and Technology Progress 1, the third prize of Anhui University Science and Technology Progress, 1 New and Practical Patent, and the second prize of Anhui University Teaching Achievements. Main research fields: computer vision, image information processing.
2. Image processing and direction identification
Bin Luo: Doctor, professor (doctor), Ph.D. in computer science, York University, UK, professor and doctoral supervisor of School of Computer Science and Technology, Anhui University, distinguished professor, the first batch of "Wanjiang scholars" in Anhui Province, the candidate for cross-century academic and technical leaders in Anhui Province, and the dean of School of Computer Science and Technology, Anhui University. Director of China Image and Graphics Society, member of academic committee and youth working committee, member of IEEE Society, member of IEEE Computer Society, and member of British BMVA. The research field is digital image processing and pattern recognition. At present, he is responsible for the National Natural Science Foundation project "Research on Image Clustering Method Based on Adjacency Graph Theory" and the Ministry of Education's "Outstanding Young Teachers Funding Program", Anhui Talent Development Fund and Anhui Provincial Education Department's natural science research project. Maintain good cooperation with foreign experts and participate in the research of EPSRC project in Britain. The main research results are as follows: (1) Using modern graph decomposition theory, the image structure description, graph matching theory and graph clustering method are studied; Using EM algorithm and SVD decomposition theory of matrix, the matching methods of noise maps with different sizes and structures are obtained, and an image registration algorithm based on map matching is proposed. The spectral decomposition theory of graphs is applied to image recognition and clustering, and a method to extract the structural features of graphs is proposed. Spectral features are used to identify and cluster graphics, and are applied to image database retrieval. The research results have won the Best Paper Award of Asian Computer Vision Academic Conference and the third prize of Anhui Science and Technology Progress Award. He has published more than 70 papers in academic journals and international conferences at home and abroad, and has been included by SCI, EI and ISTP for more than 40 times. Representative papers were published in academic journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Pattern Recognition, Pattern Recognition Express, and Image Visual Computing.
3. Intelligent information processing direction
Wu Xiaopei: Doctor, professor (doctoral supervisor). In February, 2002, he received his doctorate from China University of Science and Technology. His research direction is biomedical signal processing. From June 5438 to October 2003, he conducted postdoctoral research (on-the-job) in the postdoctoral mobile station of signal and information processing of the University of Science and Technology of China, and visited the University of California, San Diego from April to September 2004. Young and middle-aged backbone teachers in Anhui University are the training targets of academic leaders in Anhui universities. Research fields: blind signal processing, biomedical signal processing, speech and image processing and recognition. In recent years, he has presided over and participated in 5 projects such as National Natural Science Foundation and Anhui Natural Science Foundation. Published more than 40 academic papers. The research achievements in blind source separation, independent component analysis and EEG signal processing have certain influence in China, and related papers have been cited by peers many times.
Chai Xiaodong: Professor, doctor. Young and middle-aged backbone teachers in colleges and universities in Anhui Province. At present, he is doing postdoctoral research (on-the-job) in the Department of Electronic Technology and Science of China University of Science and Technology, and his research content is information security based on biometric identification. Participated in 2 projects of National Natural Science Foundation, presided over 2 projects of Natural Science Foundation of Provincial Education Commission, and published more than 30 papers in important academic journals and conferences at home and abroad.
4. Multidimensional signal processing direction
Tao Liang: Ph.D., professor (doctoral supervisor), top-notch subject talent in Anhui universities, and assistant to the president of College of Computer Science and Technology. In 2003, he received a doctorate in information and communication engineering from China University of Science and Technology. 1997 was awarded the visiting scholar qualification of the National Scholarship Fund Committee, and was sent to the University of Windsor in Canada for a one-year visiting training the following year. 1999 was selected as a young and middle-aged backbone teacher in Anhui university, and in 2000/kloc-0 was selected as an outstanding young teacher funding program of the Ministry of Education and received project funding. In 2002, it was selected as the first batch of top talents in Anhui universities. 1988 has been engaged in teaching and scientific research since graduation. Offering or teaching a number of specialized courses for undergraduates and graduate students, winning the teaching achievement award and the title of advanced individual in teaching and educating people. He is the tutor of master students majoring in signal and information processing in our school (one of the tutors of degree awarding points) and the doctoral tutor of computer application technology in our school. He has participated in or presided over a number of scientific research projects, and recently presided over the key natural science research project of Anhui Education Department 1, the natural science foundation project of Anhui Province 1, and the outstanding young teachers funded project of Ministry of Education 1. The main research direction is multi-dimensional signal processing and biometric technology. He has published more than 50 papers in core academic journals such as Journal of Computer Science and Technology, Journal of China Electronics, Journal of Electronics, China Optical Express and International Academic Conference. Won the 4th Excellent Academic Paper Award in Anhui Province. At present (April 2005), SCI has included 2 papers, EI has included 22 papers and 65,438+00 papers, and many papers have been cited by others. There is 1 monograph (theory and application of real Gabor transform); He is a reviewer of the Journal of Circuits and Systems and the Journal of Computer Aided Design and Graphics, and also a reviewer of the International Annual Conference of IEEE Circuits and Systems (he was invited to be a member of the review committee and the chairman of a special chapter).
Third, the main academic achievements
1. Supported by the national natural science foundation project "Robust calculation and application of basic matrix", the robust algorithm of basic matrix is studied by applying vision theory, projection geometry, algebraic geometry, matrix analysis and modern mathematical optimization theory, and the robust algorithm of related problems in three-dimensional computer vision is given.
2. Supported by the National Natural Science Foundation project "Research on Projective Reconstruction Algorithm Based on SVD Decomposition", the projective reconstruction algorithm based on SVD decomposition is deeply and systematically studied. Through experiments on simulated data and real images, the quantitative understanding of the influence of matching point noise in images and the qualitative understanding of the algorithm performance are obtained.
3. With the support of the National Natural Science Foundation project "Scene Reproduction Based on Photos", the panoramic roaming technology based on sequence images is studied, including image interpolation, image fusion and panoramic image generation.
4. With the support of the national "863" project "Assembly Help System Based on Virtual Reality Technology", the following research work has been completed: 1) A multi-mode comprehensive experimental platform has been established in Windows environment; 2) Implement a virtual reality system, which helps to assemble the system by identifying and locating objects based on viewpoints; 3) The camera self-calibration, viewpoint-based interpolation and 3D reconstruction technology are deeply studied. Appraised by the national "863" expert group, it has played a pioneering role in the research in this field.
5. With the support of the National Natural Science Foundation, the computational holography is studied. Holographic technology can provide 3D (depth) perception of all viewpoints and distances, and it is the most ideal 3D display at present. Nowadays, the data from computers, satellites, advanced medical imaging equipment, accurate simulation of battlefield environment and geological exploration are increasing day by day, and people increasingly hope to convert these data into a form that people can understand more easily, that is, the form of true three-dimensional display. It does not need glasses, helmets and other auxiliary equipment, and uses computers to generate 3D display codes and photoelectric devices to generate spatial display.
6. We have successively completed the development and research of "image-based traffic accident scene ranging system", "interactive panoramic roaming generation system based on image sequence", "Hefei scenery interactive panoramic roaming system", "image-based crime scene reappearance system", "Wuhu Yangtze River Bridge and Hefei central oil depot interactive demonstration system" and "Yichang interactive investment exhibition system", and applied them to traffic accident treatment, public security investigation, urban planning, tourism promotion and so on. It has played a positive role in promoting the popularization and application of computer vision, image processing and virtual reality technology. Among them, "image-based traffic accident scene ranging system" and "Hefei scenery interactive panoramic roaming system" have been appraised by experts organized by Hefei Science and Technology Bureau: the core technology level has reached the international advanced level, and the system has reached the domestic leading level, filling the domestic gap.
7. With the support of the National Natural Science Foundation of China and the Natural Science Foundation of Anhui Province, the feasibility of describing the characteristics of thinking EEG signals with independent components is preliminarily verified, and a new idea of brain-computer interface technology research based on the characteristics of independent components of thinking EEG signals is put forward. The research ideas and phased achievements have been affirmed by experts at home and abroad; The feasibility of combining wavelet transform with independent component analysis is studied. The experimental results show that the time-frequency space three-domain analysis method based on wavelet transform and ICA can solve the over-complete and non-stationary problems in ICA analysis of multi-channel EEG signals. In this paper, the online ICA algorithm and its implementation technology are studied, and a simple and practical online Infomax algorithm is proposed, which is applied to the online bath elimination problem of measured EEG data and satisfactory results are obtained. This achievement is an extension and supplement to Infomax blind source separation algorithm.
8. With the support of the outstanding young teachers' fund project of the Ministry of Education, the natural science fund project of Anhui Province and the key natural science research project of the Anhui Provincial Department of Education, the theory and fast algorithm of real-valued discrete Gabor transform (RDGT) are proposed, and the transient signal representation algorithm based on RDGT, the nuclear magnetic resonance FID signal enhancement algorithm based on oversampling RDGT, and the linear time-varying system representation and approximation method based on RDGT are proposed. The identity authentication method and system based on face recognition are studied. The research results have been published in important core academic journals such as Journal of Computer Science and Technology, Journal of China Electronics, Journal of Electronics, and several international Chinese and English academic conferences, and more than 20 papers have been included by SCI, EI and ISTP.
Four. Introduction of subject research direction
1. computer vision and its application direction
This paper combines multi-view geometry with matrix analysis, harmonic analysis and modern mathematical optimization theory, and studies the algorithms and applications in image-based three-dimensional imaging geometry and physics, including robust calculation and application of basic matrix, scene reconstruction and singular value reconstruction based on photos, assembly auxiliary system based on virtual reality technology, computer holography and its applications in traffic accident handling, public security investigation, urban planning, tourism promotion and cultural heritage protection.
2. Image processing and direction identification
Modern graph decomposition theory, modern statistical theory and pattern recognition theory are applied to the analysis and recognition of digital images. Graph matching theory and graph clustering method in image structure description, image feature extraction, image registration and structural pattern recognition are studied, and they are applied to the retrieval and indexing of image databases.
3. Intelligent information processing direction
The wavelet analysis theory and its application in EEG signal processing, feature extraction and recognition of thinking EEG signal based on time-frequency space three-domain analysis method, independent component analysis of thinking EEG signal and its application in brain-computer interface, online blind source separation algorithm and its DSP implementation are studied.
4. Multidimensional signal processing direction
The new theory and method of multidimensional signal analysis and processing technology are studied and applied to the processing and recognition of biological information, sound and image signals. For example, the theory, fast algorithm and application of one-dimensional and two-dimensional real-valued discrete Gabor transform; Automatic eye location algorithm in gray image and color image under complex background: identity authentication method based on face recognition and system implementation: support vector machine fast learning algorithm and its application: voice bath elimination and recognition technology.