基于水平树结构的可变权重代价聚合立体匹配算法 下载: 976次
彭建建, 白瑞林. 基于水平树结构的可变权重代价聚合立体匹配算法[J]. 光学学报, 2018, 38(1): 0115002.
Jianjian Peng, Ruilin Bai. Variable Weight Cost Aggregation Algorithm for Stereo Matching Based on Horizontal Tree Structure[J]. Acta Optica Sinica, 2018, 38(1): 0115002.
[1] BleyerM, BreitenederC. Stereo matching—state-of-the-art and research challenges[M]. Advanced topics in computer vision. London: Springer, 2013: 143- 179.
BleyerM, BreitenederC. Stereo matching—state-of-the-art and research challenges[M]. Advanced topics in computer vision. London: Springer, 2013: 143- 179.
BleyerM, BreitenederC. Stereo matching—state-of-the-art and research challenges[M]. Advanced topics in computer vision. London: Springer, 2013: 143- 179.
[5] BleyerM, GelautzM. Simple buteffective tree structures for dynamic programming-based stereo matching[C]∥International Conference on Computer Vision Theory and Applications, Funchal, Portugal, 2008: 415- 422.
BleyerM, GelautzM. Simple buteffective tree structures for dynamic programming-based stereo matching[C]∥International Conference on Computer Vision Theory and Applications, Funchal, Portugal, 2008: 415- 422.
BleyerM, GelautzM. Simple buteffective tree structures for dynamic programming-based stereo matching[C]∥International Conference on Computer Vision Theory and Applications, Funchal, Portugal, 2008: 415- 422.
[6] 祝世平, 李政. 基于改进梯度和自适应窗口的立体匹配算法[J]. 光学学报, 2015, 35(1): 0110003.
祝世平, 李政. 基于改进梯度和自适应窗口的立体匹配算法[J]. 光学学报, 2015, 35(1): 0110003.
祝世平, 李政. 基于改进梯度和自适应窗口的立体匹配算法[J]. 光学学报, 2015, 35(1): 0110003.
[9] CiglaC. Recursive edge-aware filters for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015: 27- 34.
CiglaC. Recursive edge-aware filters for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015: 27- 34.
CiglaC. Recursive edge-aware filters for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015: 27- 34.
[12] YangQ. A non-local cost aggregation method for stereo matching[C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2012: 1402- 1409.
YangQ. A non-local cost aggregation method for stereo matching[C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2012: 1402- 1409.
YangQ. A non-local cost aggregation method for stereo matching[C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2012: 1402- 1409.
[13] MeiX, SunX, Dong WM, et al. Segment-tree based cost aggregation for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013: 313- 320.
MeiX, SunX, Dong WM, et al. Segment-tree based cost aggregation for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013: 313- 320.
MeiX, SunX, Dong WM, et al. Segment-tree based cost aggregation for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013: 313- 320.
[14] YaoP, ZhangH, XueY, et al. Segment-tree based cost aggregation for stereo matching with enhanced segmentation advantage[C]∥IEEE International Conference on Acoustics, Speech and Signal Processing, 2017: 2027- 2031.
YaoP, ZhangH, XueY, et al. Segment-tree based cost aggregation for stereo matching with enhanced segmentation advantage[C]∥IEEE International Conference on Acoustics, Speech and Signal Processing, 2017: 2027- 2031.
YaoP, ZhangH, XueY, et al. Segment-tree based cost aggregation for stereo matching with enhanced segmentation advantage[C]∥IEEE International Conference on Acoustics, Speech and Signal Processing, 2017: 2027- 2031.
[15] Ma ZY, He KM, Wei YC, et al. Constant time weighted median filtering for stereo matching and beyond[C]∥Proceedings of the IEEE International Conference on Computer Vision, 2013: 49- 56.
Ma ZY, He KM, Wei YC, et al. Constant time weighted median filtering for stereo matching and beyond[C]∥Proceedings of the IEEE International Conference on Computer Vision, 2013: 49- 56.
Ma ZY, He KM, Wei YC, et al. Constant time weighted median filtering for stereo matching and beyond[C]∥Proceedings of the IEEE International Conference on Computer Vision, 2013: 49- 56.
[16] SunX, MeiX, Jiao SH, et al. Stereo matching with reliable disparity propagation[C]∥IEEE International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, 2011: 132- 139.
SunX, MeiX, Jiao SH, et al. Stereo matching with reliable disparity propagation[C]∥IEEE International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, 2011: 132- 139.
SunX, MeiX, Jiao SH, et al. Stereo matching with reliable disparity propagation[C]∥IEEE International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, 2011: 132- 139.
[17] ZhangK, FangY, MinD, et al. Cross-scale cost aggregation for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1590- 1597.
ZhangK, FangY, MinD, et al. Cross-scale cost aggregation for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1590- 1597.
ZhangK, FangY, MinD, et al. Cross-scale cost aggregation for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1590- 1597.
彭建建, 白瑞林. 基于水平树结构的可变权重代价聚合立体匹配算法[J]. 光学学报, 2018, 38(1): 0115002. Jianjian Peng, Ruilin Bai. Variable Weight Cost Aggregation Algorithm for Stereo Matching Based on Horizontal Tree Structure[J]. Acta Optica Sinica, 2018, 38(1): 0115002.