Paper
17 March 2015 Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information
Author Affiliations +
Proceedings Volume 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015; 93930I (2015) https://doi.org/10.1117/12.2077538
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
Conventional stereo matching methods provide the unsatisfactory results for stereo pairs under uncontrolled environments such as illumination distortions and camera device changes. A majority of efforts to address this problem has devoted to develop robust cost function. However, the stereo matching results by cost function cannot be liberated from a false correspondence when radiometric distortions exist. This paper presents a robust stereo matching approach based on probabilistic Laplacian propagation. In the proposed method, reliable ground control points are selected using weighted mutual information and reliability check. The ground control points are then propagated with probabilistic Laplacian. Since only reliable matching is propagated with the reliability of GCP, the proposed approach is robust to a false initial matching. Experimental results demonstrate the effectiveness of the proposed method in stereo matching for image pairs taken under illumination and exposure distortions.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junhyung Kim, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn "Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information", Proc. SPIE 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015, 93930I (17 March 2015); https://doi.org/10.1117/12.2077538
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reliability

Radio propagation

Cameras

3D image processing

Data modeling

Digital imaging

Electronics engineering

RELATED CONTENT

An improved 3D reconstruction method of multi view scene
Proceedings of SPIE (March 07 2022)
Model supported positioning
Proceedings of SPIE (November 17 1995)
Image Perspective Transformations
Proceedings of SPIE (December 23 1980)
Depth map generation by image classification
Proceedings of SPIE (April 16 2004)
Novel view synthesis with residual error feedback for FTV
Proceedings of SPIE (February 18 2010)

Back to Top