Authors:
Chung-Chien Kao
and
Huei-Yung Lin
Affiliation:
National Chung Cheng University, Taiwan
Keyword(s):
Stereo Matching, Bit-plane Slicing, Hierarchical Processing.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Motion, Tracking and Stereo Vision
;
Shape Representation and Matching
;
Stereo Vision and Structure from Motion
Abstract:
In this paper, we propose a hierarchical framework for stereo matching. Similar to the conventional image pyramids, a series of images with less and less information is constructed. The objective is to use bit-plane slicing technique to investigate the feasibility of correspondence matching with less bits of intensity information. In the experiments, stereo matching with various bit-rate image pairs are carried out using graph cut, semi-global matching, and non-local aggregation methods. The results are submitted to Middlebury stereo page for performance evaluation.