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2D Object Detection and Recognition

Models, Algorithms, and Networks
2D Object Detection and Recognition Image
Two important subproblems of computer vision are the detection and recognition of 2D objects in gray-level images. This book discusses the construction and training of models, computational approaches to efficient implementation, and parallel implementations in biologically plausible neural network architectures. The approach is based on statistical modeling and estimation, with an emphasis on simplicity, transparency, and computational efficiency.The book describes a range of deformable template models, from coarse sparse models involving discrete, fast computations to more finely detailed models based on continuum formulations, involving intensive optimization. Each model is defined in terms of a subset of points on a reference grid (the template),...

Computer Vision and Applications

A Guide for Students and Practitioners,Concise Edition
Computer Vision and Applications Image
Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery, and is accompanied by a companion website * Bridges the gap between theory and practical applications* Covers modern concepts in computer vision as well as modern developments in imaging sensor technology* Presents a unique interdisciplinary approach covering different areas of modern science* An accompanying companion website provides 3-D models, image material in Tiff format and Movies in Apple Quicktime, Microsoft AVI, or MPEG f...


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