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Artificial intelligence --- Computer vision --- Visual texture recognition
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Texture analysis is an important generic research area of machine vision. The potential areas of application include biomedical image analysis, industrial inspection, analysis of satellite or aerial imagery, content-based retrieval from image databases, document analysis, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding. Texture analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on "Texture Analysis in Machine Vision" was held at the U
Computer vision --- Visual texture recognition --- Imaging systems --- Visual perception
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Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications.Currently, the main approaches to texture ana
Computer vision. --- Visual texture recognition. --- Visual perception --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems
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This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis. Topics and features: Provides self-test exercises in every chapter Describes the basics of image texture, texture features, and image texture classification and segmentation Examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification Explains the concepts of dimensionality reduction and sparse representation Discusses view-based approaches to classifying images Introduces the template for the K-views algorithm, as well as a range of variants of this algorithm Reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work. Dr. Chih-Cheng Hung is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China. Dr. Enmin Song is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China. Dr. Yihua Lan is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.
Computer vision. --- Artificial intelligence. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Visual texture recognition. --- Visual perception --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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Although the field of texture processing is now well-established, research in this area remains predominantly restricted to texture analysis and simple and approximate static textures. This comprehensive text/reference presents a survey of the state of the art in multidimensional, physically-correct visual texture modeling. Starting from basic principles and building upon the fundamentals to the latest advanced methods, the book brings together research from computer vision, pattern recognition, computer graphics, virtual and augmented reality. The text assumes a graduate-level understanding of statistics and probability theory, and a knowledge of basic computer graphics principles, but is accessible to newcomers to the field. Topics and features: Reviews the entire process of texture synthesis, including material appearance representation, measurement, analysis, compression, modeling, editing, visualization, and perceptual evaluation Explains the derivation of the most common representations of visual texture, discussing their properties, advantages, and limitations Describes a range of techniques for the measurement of visual texture, including BRDF, SVBRDF, BTF and BSSRDF Investigates the visualization of textural information, from texture mapping and mip-mapping to illumination- and view-dependent data interpolation Examines techniques for perceptual validation and analysis, covering both standard pixel-wise similarity measures and also methods of visual psychophysics Reviews the applications of visual textures, from visual scene analysis in image processing and medical applications, to high-quality visualizations for cultural heritage and the automotive industry Researchers, lecturers, students and practitioners will all find this book an invaluable reference on the rapidly developing new field of texture modeling.
Artificial intelligence. --- Computer vision. --- Visual texture recognition. --- Engineering & Applied Sciences --- Applied Physics --- Optical pattern recognition. --- Visual perception. --- Optics, Psychological --- Vision --- Psychological aspects --- Computer science. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Graphics. --- Perception --- Visual discrimination --- Visual perception --- Optical data processing --- Pattern perception --- Perceptrons --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Digital techniques --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment
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This is both a practical and theoretical guide to the visualization techniques used by contemporary product designers, including freehand sketching, digital rendering, information graphics, and presentation skills.
Product design --- Technisch tekenen Ontwerpen --- Drawing -- Philosophy. --- Drawing, Psychology of. --- Freehand technical sketching -- Computer-aided design. --- Industrial design -- United States -- 21st century. --- Mechanical drawing -- Study and teaching (Higher). --- Mechanical drawing -- Technique. --- Product design -- Case studies. --- Rendering (Computer graphics). --- Space and time -- Design. --- Technical illustration. --- Visual texture recognition. --- produktdesign --- tegning --- produktdesignere --- designere --- industriell --- 745.4 --- productontwikkeling, productdesign --- Freehand technical sketching --- Rendering (Computer graphics) --- Illustration, Technical --- Computer graphics rendering --- Drafting, Mechanical --- Engineering drawing --- Industrial drawing --- Mathematical drawing --- Sketching, Technical --- Technical freehand sketching --- Technical sketching, Freehand --- Drawing --- Industrial design --- Mechanical drawing --- Space and time --- Visual perception --- Technical reports --- Illustration of books --- Photography --- Scientific illustration --- Space of more than three dimensions --- Space-time --- Space-time continuum --- Space-times --- Spacetime --- Time and space --- Fourth dimension --- Infinite --- Metaphysics --- Philosophy --- Space sciences --- Time --- Beginning --- Hyperspace --- Relativity (Physics) --- Computer graphics --- Commercial products --- New products --- Plans --- Technical drawing --- Geometrical drawing --- Graphic statics --- Projection --- Technical illustration --- Design, Industrial --- Design --- Engineering graphics --- Psychology --- Graphology --- Drawings --- Sketching --- Art --- Graphic arts --- Manual training --- Philosophy. --- Computer-aided design. --- Study and teaching (Higher) --- Technique. --- Design. --- Illustration --- Scientific applications --- Design and construction --- Visual texture recognition --- Technique --- Computer-aided design --- Psychological aspects --- E-books --- productdesign --- tekentechnieken --- 641 --- schetsen --- technisch tekenen --- Product design. --- Technisch tekenen ; Ontwerpen --- MAD-faculty 13 --- tekenen --- presentatietekenen --- presentatietechnieken --- drafting --- design [discipline] --- drawing and drawing techniques
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