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Matti Pietikäinen (academic)
Matti Kalevi Pietikäinen is a Finnish computer scientist. He is currently Professor (emer.) in the Center for Machine Vision and Signal Analysis, University of Oulu. His research interests are in computer vision, texture-based computer vision, face analysis, affective computing, biometrics, and vision-based perceptual interfaces. He was Director of the Center for Machine Vision Research, and Scientific Director of Infotech Oulu. Biography Pietikäinen received the Doctor of Science in Technology degree from University of Oulu, Finland, in 1982. From 1980 to 1981 and from 1984 to 1985 he was with the Computer Vision Laboratory at the University of Maryland, working with a pioneer of the computer image analysis, Professor Azriel Rosenfeld. After the first visit, he established computer vision research at University of Oulu. For the 25th Anniversary book of his group in Oulu, see the list of selected publications. He has authored over 350 refereed scientific publications, which ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Vision
Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. The scientific discipline of computer vision is concerned with the theory behind artificial systems that extract information from images. Image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanning, 3D scanner, 3D point clouds ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pattern Recognition
Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess PR capabilities but their primary function is to distinguish and create emergent patterns. PR has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning, due to the increased availability of big data and a new abundance of processing power. Pattern recognition systems are commonly trained from labeled "training" data. When no labeled data are available, other algorithms can be used to discover previously unknown patterns. KDD and data mining have a larger focus on unsupervised methods and str ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
University Of Oulu
The University of Oulu () is one of the largest universities in Finland, located in the city of Oulu. It was founded on July 8, 1958. The university has around 14,200 students and 3,800 staff. 21 International Master's Programmes are offered at the university. The university is often ranked as one of the best universities in Finland and in the top 400 worldwide. History * 1919 Oulu College Association was founded to manage the establishment of a university in the town * 1958 Oulu University Act * 1959 Activities begin. Faculty of Philosophy (programs in biology and mathematics), Faculty of Technology (architecture, civil and industrial engineering) and Oulu Teaching School * 1960 Faculty of Medicine * 1965 Teaching begins in humanities * 1965 Departments of Electrical Engineering and Machine Engineering added to the Faculty of Technology * 1972 The Faculty of Humanities and the Faculty of Natural Sciences founded with the division of the Faculty of Philosophy * 1974 Facul ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Azriel Rosenfeld
Azriel Rosenfeld (February 19, 1931 – February 22, 2004) was an American Research Professor, a Distinguished University Professor, and Director of the Center for Automation Research at the University of Maryland, College Park, Maryland, where he also held affiliate professorships in the Departments of Computer Science, Electrical Engineering, and Psychology. He was a leading researcher in the field of computer image analysis. Over a period of nearly 40 years, he made many fundamental and pioneering contributions to nearly every area of that field. He wrote the first textbook in the field (1969); was founding editor of its first journal, '' Computer Graphics and Image Processing'' (1972); and was co-chairman of its first international conference (1987). He published over 30 books and over 600 book chapters and journal articles, and directed nearly 60 Ph.D. dissertations. Rosenfeld's research on digital image analysis (specifically on digital geometry and digital topology, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Scientist
A computer scientist is a scientist who specializes in the academic study of computer science. Computer scientists typically work on the theoretical side of computation. Although computer scientists can also focus their work and research on specific areas (such as algorithm and data structure development and design, software engineering, information theory, database theory, theoretical computer science, numerical analysis, programming language theory, compiler, computer graphics, computer vision, robotics, computer architecture, operating system), their foundation is the theoretical study of computing from which these other fields derive. A primary goal of computer scientists is to develop or validate models, often mathematical, to describe the properties of computational systems (Processor (computing), processors, programs, computers interacting with people, computers interacting with other computers, etc.) with an overall objective of discovering designs that yield useful ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Vision
Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. The scientific discipline of computer vision is concerned with the theory behind artificial systems that extract information from images. Image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanning, 3D scanner, 3D point clouds ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Affective Computing
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While some core ideas in the field may be traced as far back as to early philosophical inquiries into emotion, the more modern branch of computer science originated with Rosalind Picard's 1995 paper entitled "Affective Computing" and her 1997 book of the same name published by MIT Press. One of the motivations for the research is the ability to give machines emotional intelligence, including to simulate empathy. The machine should interpret the emotional state of humans and adapt its behavior to them, giving an appropriate response to those emotions. Areas Detecting and recognizing emotional information Detecting emotional information usually begins with passive sensors that capture data about the user's physical state or behavior without inte ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Biometrics
Biometrics are body measurements and calculations related to human characteristics and features. Biometric authentication (or realistic authentication) is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance. Biometric identifiers are the distinctive, measurable characteristics used to label and describe individuals. Biometric identifiers are often categorized as physiological characteristics which are related to the shape of the body. Examples include, but are not limited to fingerprint, palm veins, face recognition, DNA, palm print, hand geometry, iris recognition, retina, odor/scent, voice, shape of ears and gait. Behavioral characteristics are related to the pattern of behavior of a person, including but not limited to mouse movement, typing rhythm, gait, signature, voice, and behavioral profiling. Some researchers have coined the term behaviometrics (behavioral biom ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
University Of Maryland
The University of Maryland, College Park (University of Maryland, UMD, or simply Maryland) is a public land-grant research university in College Park, Maryland, United States. Founded in 1856, UMD is the flagship institution of the University System of Maryland. It is known as the biggest university in the state of Maryland. UMD is the largest university in Maryland and the Washington metropolitan area. Its eleven schools and colleges offer over 200 degree-granting programs, including 113 undergraduate majors, 107 master's programs, and 83 doctoral programs. UMD's athletic teams are known as the Maryland Terrapins and compete in NCAA Division I as a member of the Big Ten Conference. A member of the Association of American Universities, The University of Maryland's proximity to Washington, D.C. has resulted in many research partnerships with the federal government; faculty receive research funding and institutional support from many agencies, such as the National In ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Local Binary Patterns
Local binary patterns (LBP) is a type of visual descriptor used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990. LBP was first described in 1994. It has since been found to be a powerful feature for texture classification; it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some datasets. A comparison of several improvements of the original LBP in the field of background subtraction was made in 2015 by Silva et al. A full survey of the different versions of LBP can be found in Bouwmans et al. Concept The LBP feature vector, in its simplest form, is created in the following manner: * Divide the examined window into cells (e.g. 16x16 pixels for each cell). * For each pixel in a cell, compare the pixel to each of its 8 neighbors (on its left-top, left-middle, left-bottom, right-top, etc.). Follow t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
IEEE Fellow
, the Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers (IEEE) is an American 501(c)(3) public charity professional organization for electrical engineering, electronics engineering, and other related disciplines. The IEEE has a corporate office ... (IEEE) has 7,236 members designated Fellow, each of whom is associated with at least one of the 41 societies under the IEEE. The Fellow grade of membership is the highest level of membership, and cannot be applied for directly by the member – instead the candidate must be nominated by others. This grade of membership is conferred by the IEEE board of directors in recognition of a high level of demonstrated extraordinary accomplishment. * Aerospace and Electronic Systems Society – List of fellows * Antennas & Propagation Society – List of fellows * IEEE Broadcast Technology Society – List of fellows * Circuits and Systems Society – List of fellows * Communica ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
