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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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Corporate Author: SpringerLink (Online service)
Other Authors: Hassner, Tal. (Editor, http://id.loc.gov/vocabulary/relators/edt), Liu, Ce. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
Artificial intelligence.
Electrical engineering.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Artificial Intelligence.
Communications Engineering, Networks.
Online Access:https://doi.org/10.1007/978-3-319-23048-1

Internet

https://doi.org/10.1007/978-3-319-23048-1

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