Titlebook: Computer Vision; Detection, Recogniti Roberto Cipolla,Sebastiano Battiato,Giovanni Maria Book 20101st edition Springer-Verlag Berlin Heidel

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Is Human Vision Any Good?,” human vision, so the questions arise: Is human vision any good, will it be supplanted by machine vision for most tasks soon? I analyze human vision with the aim to provide an answer to such questions. Does machine vision still have anything to learn from human vision? I identify a number of basic

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Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features forrical. In this Chapter we propose to tie the design of local features to their systematic evaluation on a realistic ground-truthed dataset. We propose a novel mathematical characterisation of the co-variance properties of the features which accounts for deviation from the usual idealised image affin

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Dynamic Graph Cuts and Their Applications in Computer Vision, been the successes of efficient graph cut based minimization algorithms in solving many low level vision problems such as image segmentation, object reconstruction, image restoration and disparity estimation. The scale and form of computer vision problems introduce many challenges in energy minimiz

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Discriminative Graphical Models for Context-Based Classification,referred to as . in Vision. This chapter describes Conditional Random Fields (CRFs) based discriminative models for incorporating context in a principled manner. Unlike the traditional generative Markov Random Fields (MRFs), CRFs allow the use of arbitrarily complex dependencies in the observed data

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What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition an shown that the human visual system is particularly efficient and effective in perceiving high-level meanings in cluttered real-world scenes, such as objects, scene classes, activities and the stories in the images. In this chapter, we discuss a generativemodel approach for classifying complex human

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Multi-view Object Categorization and Pose Estimation,e object may show tremendous variability in appearance and structure under various photometric and geometric conditions. In addition, members of the same class may differ from each other due to various degrees of intra-class variability. Recently, researchers have proposed new models towards the goa

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A Vision-Based Remote Control, is pointing towards the user. An attention mechanism allows the user to start the interaction and control a screen pointer by moving their hand in a fist pose directed at the camera. On-screen items can be chosen by a selection mechanism. Current sample applications include browsing video collectio