Stereo Matching Optimization with Multi-baseline Trinocular Camera Model

In this paper, we focused on accelerating the stereo matching by using multi-baseline trinocular camera model. To optimize matching cost calculation and cost aggregation steps, we designed a special scheme called the trinocular dynamic disparity range (T-DDR) by narrowing disparity searching range....

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Bibliographic Details
Main Authors: Wang, Jie, Peng, Chenglei, Li, Ming, Chen, Xudong, Du, Sidan, Li, Yang
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Computational complexity
Computer vision
Conferences
disparity estimation
Estimation
Heuristic algorithms
mutil-baseline
Real-time systems
trinocular stereo matching
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Summary:In this paper, we focused on accelerating the stereo matching by using multi-baseline trinocular camera model. To optimize matching cost calculation and cost aggregation steps, we designed a special scheme called the trinocular dynamic disparity range (T-DDR) by narrowing disparity searching range. Based on that, we proposed the T-DDR-SGM for trinocular stereo matching. Evaluation results showed that T-DDR-SGM could significantly reduce the computational complexity with slightly improving the accuracy. We proved that the proposed optimization methods for the trinocular stereo matching are effective and the trinocular stereo matching is useful for reducing computational complexity.
ISSN:2576-7046
DOI:10.1109/CCECE47787.2020.9255786