2D Object Detection and Recognition: Models, Algorithms, and Networks

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2D Object Detection and Recognition: Models, Algorithms, and Networks ISBN  0262011948 Release Date  01 November 2002 Page  324 Category  Computer Vision Tags  recognition,   pattern recognition,   algorithm,   2d,   algorithms,   face recognition,   detection,   network,   object recognition,   image recognition,   character recognition,   2d object detection and recognition: models, algorithms, and networks,   optical character recognition,   object oriented,   intrusion detection,   collision detection,   genetic algorithm,   blob detection,   object detection,   edge detection,   speech recognition,   amit konar,   motion detection,   neural networks,   hidden markov model,   This book @Amazon  View Tools Google Search Web flazx.com

Description 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), a set of admissible instantiations of these points (deformations), and a statistical model for the data given a particular instantiation of the object present in the image. A recurring theme is a coarse to fine approach to the solution of vision problems. The book provides detailed descriptions of the algorithms used as well as the code, and the software and data sets are available on the Web. Other books on Computer Vision Blind Image Deconvolution: Theory and Applications Computer Vision/Computer Graphics Collaboration Techniques: Third International Conference on Computer Vision/Computer Graphics, MIRAGE 2007, Rocquencourt, ... (Lecture Notes in Computer Science) Handbook of Mathematical Models in Computer Vision Image Processing Using Pulse-Coupled Neural Networks Machine Learning in Computer Vision (Computational Imaging and Vision) Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science) Machine Vision : Theory, Algorithms, Practicalities Computer Vision Beyond the Visible Spectrum (Advances in Pattern Recognition) Multiple View Geometry in Computer Vision Biologically Motivated Computer Vision 2D Object Detection and Recognition: Models, Algorithms, and Networks Computer Vision: A Modern Approach Scale-Space and Morphology in Computer Vision Handbook of Computer Vision Algorithms in Image Algebra, Second Edition Computer Vision and Applications: A Guide for Students and Practitioners (With CD-ROM)