Dense Image Correspondences for Computer Vision

This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applic...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hassner, Tal (Editor), Liu, Ce (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Subjects:
Signal processing.
Computer vision.
Artificial intelligence.
Telecommunication.
Signal, Speech and Image Processing .
Computer Vision.
Artificial Intelligence.
Communications Engineering, Networks.
Online Access:Full-text access

Internet

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