Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications: The International Series in Video Computing, cartea 12
Autor Omar Oreifej, Mubarak Shahen Limba Engleză Hardback – 3 apr 2014
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Specificații
ISBN-13: 9783319041834
ISBN-10: 3319041835
Pagini: 120
Ilustrații: VI, 114 p. 41 illus., 39 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria The International Series in Video Computing
Locul publicării:Cham, Switzerland
ISBN-10: 3319041835
Pagini: 120
Ilustrații: VI, 114 p. 41 illus., 39 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria The International Series in Video Computing
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Introduction.- Background and Literature Review.- Seeing Through Water: Underwater Scene Reconstruction.- Simultaneous Turbulence Mitigation and Moving Object Detection.- Action Recognition by Motion Trajectory Decomposition.- Complex Event Recognition Using Constrained Rank Optimization.- Concluding Remarks.- Extended Derivations for Chapter 4.
Caracteristici
Provides a comprehensive summary of the state-of-the-art methods and applications of Low-Rank Optimization Reviews the latest approaches in a wide range of computer vision problems, including: Scene Reconstruction, Video Denoising, Activity Recognition, and Background Subtraction Involves a self-complete and detailed description of the methods and theories which makes it ideal for graduate students looking for a comprehensive resource in this area Includes supplementary material: sn.pub/extras