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Blind Motion Deblurring Based on Fused - Regularization Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Facial Stereo Processing by Pyramidal Block Matching

Authors : Jing Wang, Qiwen Zha, Yubo Yang, Yang Liu, Bo Yang, Dengbiao Tu, Guangda Su

Published in: Image and Graphics

Publisher: Springer International Publishing

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Abstract

This paper describes the Pyramidal Block Matching (PBM) stereo method. It uses a pyramidal approach and a global energy function to obtain the disparity image. First, the input images are rectified to obtain row-aligned epipolar geometry. Then the face is segmented out of each image and a face pyramid is generated. The main difference to our approach is that the first layer of pyramid is the whole face. Matching result of the first layer provides input to the next layer, where it is used to constrain the search area for matching. This process continues on each layer. After that, a global energy function is designed to remove the wrong pixels and get a smoother result. A comparison on face images shows that the generated projection results of PBM are the closest to the ground truth images. A face recognition experiment is also performed, and PBM achieves the best recognition rates.

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Metadata
Title
Facial Stereo Processing by Pyramidal Block Matching
Authors
Jing Wang
Qiwen Zha
Yubo Yang
Yang Liu
Bo Yang
Dengbiao Tu
Guangda Su
Copyright Year
2015
Book
Image and Graphics

Print ISBN: 978-3-319-21962-2

Electronic ISBN: 978-3-319-21963-9

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-21963-9_23

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