Paper
8 July 2011 Estimating smoothness term for BP stereo matching with sparse disparities
Junxue He, Zhanming Li
Author Affiliations +
Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80091Q (2011) https://doi.org/10.1117/12.896292
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
Abstract
The belief propagation stereo matching algorithm has high computational cost and varied parameters. To address these problems and perform stereo matching in practical applications, we implement BP algorithm on cuda and propose an approach to estimate parameters of smoothness term in the energy function automatically. We use Harris corner detector and Pyramidal KLT feature tracker algorithm to extract a sparse disparity map. The rate of increase in the discontinuity cost can be compute out approximately. Experiments demonstrate that our approach is feasible and the approximate parameters of discontinuity cost can be computed out quickly.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junxue He and Zhanming Li "Estimating smoothness term for BP stereo matching with sparse disparities", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091Q (8 July 2011); https://doi.org/10.1117/12.896292
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KEYWORDS
Detection and tracking algorithms

Sensors

Corner detection

Image quality

3D image reconstruction

3D vision

Lithium

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