Advanced Topics in Computer Vision by Martin Weinmann (auth.), Giovanni Maria Farinella,

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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In: Proceedings of the Alvey vision conference, pp 147–151 59. Heikkilä M, Pietikäinen M, Schmid C (2009) Description of interest regions with local binary patterns. Pattern Recognit 42(3):425–436 60. 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.

World Scientific, Singapore 28. Cheung W, Hamarneh G (2007) n-SIFT: n-dimensional scale invariant feature transform for matching medical images. In: Proceedings of the IEEE international symposium on biomedical imaging: from nano to macro, pp 720–723 29. Chum O, Matas J (2006) Geometric hashing with local affine frames. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), vol 1, pp 879–884 30. Collins M, Zhang J, Miller P, Wang H (2009) Full body image feature representations for gender profiling.

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.

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