Robust Subspace Estimation Using Low-Rank Optimization ― Theory and Applications
商品資訊
系列名：The International Series in Video Computing
ISBN13：9783319041834
出版社：Springer-Verlag New York Inc
作者：Omar Oreifej; Mubarak Shah
出版日：2014/03/31
裝訂／頁數：精裝／150頁
規格：23.5cm*15.9cm*1.3cm (高/寬/厚)
商品簡介
Recovering the low-rank structure of a linear subspace using a small set of corrupted examples has recently been made feasible through substantial advances in the area of matrix completion and nuclear-norm minimization. Such low-rank structures appear in certain conditions heavily in computer vision, for instance, in the frames of a video, the camera motion, and a picture of a building facade. In this book, we discuss several formulations and extensions of low-rank optimization, and demonstrate how recovering the underlying basis and detecting the corresponding outliers allow us to solve fundamental computer vision problems, including video denoising, background subtraction, action detection, and complex event recognition.
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