By Martin Weinmann (auth.), Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla (eds.)
This booklet offers a extensive collection of state-of-the-art study, protecting either theoretical and sensible elements of reconstruction, registration, and popularity. The textual content offers an outline of tough components and outlines of novel algorithms. positive factors: investigates visible gains, trajectory gains, and stereo matching; experiences the most demanding situations of semi-supervised item reputation, and a singular technique for human motion categorization; offers a framework for the visible localization of MAVs, and for using second constraints in convex form optimization; examines ideas to the co-recognition challenge, and distance-based classifiers for large-scale photo class; describes how the four-color theorem can be utilized for fixing MRF difficulties; introduces a Bayesian generative version for realizing indoor environments, and a boosting process for generalizing the k-NN rule; discusses the difficulty of scene-specific item detection, and an process for making temporal tremendous solution video.
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Extra info for Advanced Topics in Computer Vision
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Hough PVC (1962) Method and means for recognizing complex patterns. United States Patent 3069654 1 Visual Features—From Early Concepts to Modern Computer Vision 31 61. Hu M-K (1962) Visual pattern recognition by moment invariants. IRE Trans Inf Theory 8(2):179–187 62. Huang J, Kumar SR, Mitra M, Zhu W-J, Zabih R (1997) Image indexing using color correlograms. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), pp 762–768 63. Ihrke I, Kutulakos KN, Lensch HPA, Magnor M, Heidrich W (2008) State of the art in transparent and specular object reconstruction.