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This volume emphasizes the primary role played by images in computer science. In the last two decades images have replaced written texts; the enormous possibilities of the image language have overcome written language in an ever-more-restricted ambit.An image is better than one thousand words; so it was straightforward to apply visual language in the field of computer science. Nowadays everything that appears on a computer screen is an image, regardless of whether it is a word or a picture. Is it possible to realize an e-learning program without working in terms of images? The answer is undoub
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Optical data processing --- Multisensor data fusion --- Optical pattern recognition --- Automatic tracking
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Digital communications --- Computer networks --- Pattern recognition systems --- Image processing --- Microelectronics --- Electric power systems --- Data mining --- Robotics
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Optical data processing --- Multisensor data fusion --- Optical pattern recognition --- Automatic tracking --- Engineering & Applied Sciences --- Applied Physics
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Pattern recognition systems --- Pattern perception --- Reconnaissance des formes (Informatique) --- Perception de structure --- Pattern recognition systems. --- Agrotechnology and Food Sciences. Information and Communication Technology --- Information and Communication Technology (General) --- Information and Communication Technology (General).
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John D. Woodward presented this briefing to the Virginia State Crime Commission Facial Recognition Sub-committee in September 2002. This briefing defines biometrics and discusses examples of the technology, explaining how biometrics may be used for authentication and surveillance purposes.
Human face recognition (Computer science). --- Human face recognition (Computer science) --- Biometric identification --- Engineering & Applied Sciences --- Applied Physics --- Biometric person authentication --- Biometrics (Identification) --- Anthropometry --- Identification --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science) --- Optical pattern recognition --- Biometric identification.
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A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
Computer vision. --- Geometry, Projective. --- Projective geometry --- Geometry, Modern --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems
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Image processing --- Applied Physics --- Engineering & Applied Sciences --- Computer science. --- Science. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Science, general. --- Computer Graphics. --- Pattern Recognition. --- Computer vision. --- Optical pattern recognition. --- Science, Humanities and Social Sciences, multidisciplinary. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Digital techniques --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Pattern perception.
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This volume presents the proceedings of the 10th International Conference on Computer Analysis of Images and Patterns (CAIP 2003). This conference - ries started about 18 years ago in Berlin. Initially, the conference served as a forum for meetings between scientists from Western- and Eastern-bloc co- tries. Nowadays, the conference attracts participants from all over the world. The conference gives equal weight to posters and oral presentations, and the selected presentation mode is based on the most appropriate communication medium. The programme follows a single-track format, rather than parallel s- sions. Non-overlapping oral and poster sessions ensure that all attendees have the opportunity to interact personally with presenters. As for the numbers, we received a total of 160 submissions. All papers were reviewed by two to three members of the Programme Committee. The ?nal - lection was carried out by the Conference Chairs. Out of the 160 papers, 42 were selected for oral presentation and 52 as posters. At this point, we wish to thank the Programme Committee and additional referees for their timely and high-quality reviews. The paper submission and review procedure was carried out electronically. We thank Marcin Morg´ os from Scalar–IT Solutions for p- viding us with the Web-based participant registration system. We also thank the invited speakers Nicholas Ayache, John Daugman, and Dariu Gavrila, for kindly accepting our invitation.
Image processing --- Computer vision --- Optical pattern recognition --- Applied Physics --- Engineering & Applied Sciences --- Digital techniques --- Computer science. --- Science. --- Text processing (Computer science). --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Science, general. --- Document Preparation and Text Processing. --- Computer Graphics. --- Pattern Recognition. --- Computer vision. --- Natural language processing (Computer science). --- Optical pattern recognition. --- Science, Humanities and Social Sciences, multidisciplinary. --- Natural Language Processing (NLP). --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Machine vision --- Vision, Computer --- Pattern recognition systems --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Natural language processing (Computer science) --- Pattern perception.
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