Adaptive support-weight approach for correspondence search

Author

Yoon, Kuk-Jin ; Kweon, In So

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., KAIST, Daejeon, South Korea

Volume

Issue

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

650

Lastpage

656

Abstract

We present a new window-based method for correspondence search using varying support-weights. We adjust the support-weights of the pixels in a given support window based on color similarity and geometric proximity to reduce the image ambiguity. Our method outperforms other local methods on standard stereo benchmarks.

Keywords

image colour analysis; image resolution; search problems; adaptive support-weight approach; color similarity; correspondence search; geometric proximity; image ambiguity reduction; standard stereo benchmarks; support window; window-based method; Colored noise; Costs; Image analysis; Image segmentation; Layout; Performance evaluation; Pixel; Power measurement; Shape; Testing; 3D/stereo scene analysis.; Stereo; Algorithms; Artificial Intelligence; Biomimetics; Colorimetry; Feedback; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Photogrammetry; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2006.70

Filename

1597121

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=834194