Robust Subspace Estimation Using Low-Rank Optimization Theory and Applications
Heftet /
2016
/ Engelsk
Produktdetaljer
ISBN
9783319352480
Publisert
2016-08-23
Utgiver
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
6
By minimizing the rank of the matrix containing observations drawn from images, the authors demonstrate how to solve four fundamental computer vision problems, including video denosing, background subtraction, motion estimation, and activity recognition.
Les mer
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
Les mer
Produktdetaljer
ISBN
9783319352480
Publisert
2016-08-23
Utgiver
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
6