• Acta Optica Sinica
  • Vol. 29, Issue 4, 1002 (2009)
Liu Tianliang* and Luo Limin
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article Set citation alerts
    Liu Tianliang, Luo Limin. Segmentation-Based Stereo Matching Algorithm with Variable Support and Disparity Estimation[J]. Acta Optica Sinica, 2009, 29(4): 1002 Copy Citation Text show less
    References

    [1] C. Lawrence Zitnick, Sing Bing Kang. Stereo for image-based rendering using image over-segmentation[J]. International Journal of Computer Vision, 2007, 75(1): 49~65

    [2] Daniel Scharstein, Richard Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[J]. International Journal of Computer Vision, 2002, 47(1/ 2/ 3): 7~42

    [3] Andreas Klaus, Mario Sormann, Konrad Karner. Segment-based stereo matching using belief propagation and a self-adapting dissimilarity measure[C]. IEEE International Conference on Pattern Recognition, 2006. 15~18

    [4] Stan Birchfield, Carlo Tomasi. A pixel dissimilarity measure that is insensitive to image sampling[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(4): 401~406

    [5] Heiko Hirschmüller. Stereo processing by semiglobal matching and mutual information[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(2): 328~341

    [6] Kuk-Jin Yoon, In So Kweon. Adaptive support-weight approach for correspondence search[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(4): 650~656

    [7] Gu Zheng, Su Xianyu, Liu Yuankun et al.. Local stereo matching with adaptive support-weight, rank transform and disparity calibration[J]. Pattern Recognition Letters, 2008, 29(9): 1230~1235

    [8] Gu Zheng, Su Xianyu. An algorithm based on adaptive support weight and disparity adjustment for trinocular stereo matching[J]. Acta Optica Sinica, 2008, 28(4): 734~738

    [9] Federico Tombari, Stefano Mattoccia, Luigi Di Stefano. Segmentation-based adaptive support for accurate stereo correspondence[C]. IEEE Pacific-Rim Symposium on Image and Video Technology, 2007. 427~438

    [10] Jong Dae Oh, Siwei Ma, C.-C. Jay Kuo. Stereo matching via disparity estimation and surface modeling[C]. IEEE International Conference on Computer Vision and Pattern Recognition, 2007. 1696~1703

    [11] Dorin Comaniciu, Peter Meer. Mean shift: A robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603~619

    [12] Dongbo Min, Kwanghoon Sohn. Cost aggregation and occlusion handling with WLS in stereo matching[J]. IEEE Transactions on Image Processing, 2008, 17(8): 1431~1442

    [13] Wang Zengfu, Zheng Zhigang. A region based stereo matching algorithm using cooperative optimization[C]. IEEE International Conference on Computer Vision and Pattern Recognition, 2008. 887~894

    [14] Vladimir Kolmogorov, Ramin Zabih. Computing visual correspondence with occlusions using graph cuts[C]. IEEE International Conference on Computer Vision, 2001. 508~515

    [15] Olga Veksler. Stereo correspondence by dynamic programming on a tree[C]. IEEE International Conference on Computer Vision and Pattern Recognition, 2005. 384~390

    [16] Philippos Mordohai, Gérard Medioni. Stereo using monocular cues within the tensor voting framework[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(6): 968~982

    CLP Journals

    [1] Li Jinjun, Zhao Hong. Feature Patch-Based Vision Measuring Technique for Complex Surface and Silhouette[J]. Acta Optica Sinica, 2011, 31(8): 812003

    [2] Li Jinjun, Zhao Hong. Three-Dimensional Vision Measuring Technique Based on Multi-Modal Monogenic Features Detecting and Matching[J]. Acta Optica Sinica, 2011, 31(7): 712007

    [3] Zhang Rui, Cao Yiping, He Dinggao. New Method for Improving the Accuracy of Real-Time Three-Dimensional Measurement Based on a Composite Grating[J]. Chinese Journal of Lasers, 2011, 38(10): 1008005

    [4] Bao Wenxia, Liang Dong, Tang Jun. Matching Algorithm Based on Probabilistic Relaxation of Spectral Correlation[J]. Acta Optica Sinica, 2010, 30(3): 708

    [5] Liu Tianliang, Luo Limin. High Efficiency Feature-Based and Robust Local Stereo Matching Algorithm in Medical Optics[J]. Laser & Optoelectronics Progress, 2010, 47(5): 51501

    Liu Tianliang, Luo Limin. Segmentation-Based Stereo Matching Algorithm with Variable Support and Disparity Estimation[J]. Acta Optica Sinica, 2009, 29(4): 1002
    Download Citation