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"This book is suitable for independent study, reference, or coursework at the university level and beyond for experienced engineers and scientists. The chapters are divided in such a way that various courses can be devised to incorporate a subset of chapters to accommodate course requirements. For example, typical course titles include “Image Sensors and Image Processing,” “Computer Vision And Image Processing,” “Applied Computer Vision And Imaging Optimizations,” “Feature Learning, Deep Learning, and Neural Network Architectures,” “Computer Vision Architectures,” “Computer Vision Survey.” Questions are available for coursework at theend of each chapter. It is recommended that this book be used as a omplement to other fine books, open source code, and hands-on materials for study in computer vision and related scientific disciplines, or possibly used by itself for a higher-level survey course."

"Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications."

"This book constitutes the refereed proceedings of the International Conference on Computer Vision and Graphics, ICCVG 2012, held in Warsaw, Poland, in September 2012. The 89 revised full papers presented were carefully reviewed and selected from various submissions. The papers are organized in topical sections on computer graphics, computer vision and visual surveillance."

"This book constitutes the refereed proceedings of the 31st International Conference on Conceptual Modeling, ER 2012, held in Florence, Italy, in October 2012. The 24 regular papers presented together with 13 short papers, 6 poster papers and 3 keynotes were carefully reviewed and selected from 141 submissions. The papers are organized in topical sections on understandability and cognitive approaches, conceptual modeling for datawarehousing and business intelligence, extraction, discovery and clustering, search and documents; data and process modeling, ontology based approaches, variability and evolution; adaptation, preferences and query refinement, queries, matching and topic search, and conceptual modeling in action."