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is devoted to recent developments in geometry; and the third section is devoted to recent developmentsin image processing. 3.1 3-D Cinematography and;
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This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital;
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experience in research and teaching of 2-D3-D image processing, 3-D Image Processing Algorithms is an indispensable resource for electrical;
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techniques in CVIP applications development and explores various coding methods for individual types of 3-D images. This text/reference brings;
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, and Graphics, NCVPRIPG 2019, held in Hubballi, India, in December 2019. The 55 revised full papers 3 short papers presented in this;
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. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a;
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in Brno, Czech Republic, in May 2014. The 20 revised full papers and 3 invited papers presented were carefully reviewed and selected from numerous;
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topics in data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tree for wireless networks and;
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for global and local image processing. Recursive pyramids are based on regular hierarchical (recursive) structures containing data on image;
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transforms, neural networks) for solving 2-D and 3-D problems are described. Many papers concentrate on motion estimation and recognition i.e;
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In the areas of image processing and computer vision, there is a particular need for software that can, given an unfocused or motion;
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3-D Surface Geometry and Reconstruction: Developing Concepts and Applications provides developers and scholars with an extensive collection;
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, providing a balanced coverage between theory, applications and standards. It gives an introduction to both 2-D and 3-D signal processing theory;
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Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and;
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3 is a native cross-platform library for computer vision, machine learning, and image processing. OpenCV's convenient high-level APIs hide;
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This graduate textbook explains image geometry, and elaborates on image enhancement in spatial and frequency domain, unconstrained and;
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This book introduces the geometry of 3-D vision, that is, the reconstruction of 3-D models of objects from a collection of 2-D images. It;
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This book introduces the geometry of 3-D vision, that is, the reconstruction of 3-D models of objects from a collection of 2-D images;
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Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing;
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authors introduce mathematical concepts with rigor suitable for readers with some background in calculus, algebra, geometry, and PDEs. All;
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surface parameterization, surface matching, brain mapping, 3-D face recognition and identification, facial expression and animation, dynamic face;
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A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing shows how to use a collection;
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A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing shows how to use a collection;
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reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for;
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of 3-D scanned data and as a tool for scholars interested in pursuing research projects with 3-D models. The book's chapters enhance the;
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approaches, in: image processing and computer vision; telecommunications networks, Web-based information systems; mathematical methods for these;
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image processing. It focuses on two subclasses of combinatorial maps: n-Gmaps and n-maps. Suitable for researchers and graduate students;
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