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简介：
Series: Advances in Computer Vision and Pattern Recognition. Hardcover: 433 pages. Publisher: Springer; 2013 edition (September 24, 2013). Language: English. ISBN-10: 144715519X, ISBN-13: 978-1447155195. This publication offers a comprehensive collection of state-of-the-art research, encompassing both the theoretical foundations and practical applications related to reconstruction, registration, and recognition techniques. The material provides a detailed survey of complex areas and thorough accounts of innovative algorithms. Key elements include an exploration of various visual attributes, trajectory characteristics, and stereo matching methodologies; a critical review of the primary difficulties associated with semi-supervised object recognition, alongside a newly developed technique for categorizing human actions; the presentation of a structured approach for visual localization of unmanned aerial vehicles (MAVs), along with the incorporation of moment constraints within convex shape optimization; an examination of solutions to the co-recognition problem and the utilization of distance-based classifiers for large-scale image classification tasks; a description illustrating how the four-color theorem can be leveraged to address maximum likelihood ratio (MLR) problems; an introduction to a Bayesian generative model designed for comprehending indoor environments, coupled with a boosting strategy intended to generalize the k-Nearest Neighbors (k-NN) rule; and finally, a discussion concerning the challenge of scene-specific object detection, complemented by an approach facilitating temporal super resolution video enhancement.