[1] Mur-Artal R. Montiel J M M, Tardós J D. ORB-SLAM: a versatile and accurate monocular SLAM system[J]. IEEE Transactions on Robotics, 31, 1147-1163(2015).
[9] Zhu Shiping, Li Zheng. A stereo matching algorithm using improved gradient and adaptive window[J]. Acta Optica Sinica, 35, 0110003(2015).
[12] Sitnik R, Puech W, Peng Y et al. Stereo matching with space-constrained cost aggregation and segmentation-based disparity refinement[C]. SPIE, 9393, 939309(2015).
[13] Mozerov M G. Van De Weijer J. Accurate stereo matching by two-step energy minimization[J]. IEEE Transactions on Image Processing, 24, 1153-1163(2015).
[16] Zhu Shiping. Yan Li'na, Li Zheng. Stereo matching algorithm based on improved Census transform and dynamic programming[J]. Acta Optica Sinica, 36, 0415001(2016).
[18] Ernst I, Hirschmller H. Mutual information based semi-global stereo matching on the GPU[C]. International Symposium on Visual Computin, 228-239(2008).
[19] Yang Q X, Wang L, Yang R G et al. Real-time global stereo matching using hierarchical belief propagation[C]. British Machine Vision Conference, 6, 989-998(2006).
[20] Wang L, Liao M, Gong M et al. High-quality real-time stereo using adaptive cost aggregation and dynamic programming[C]. International Symposium on 3D Data Processing, Visualization, and Transmission, 798-805(2006).
[21] Mattoccia S, Giardino S, Gambini A. Accurate and efficient cost aggregation strategy for stereo correspondence based on approximated joint bilateral filtering[C]. Asian Conference on Computer Vision, 371-380(2009).
[22] Ma Z, He K, Wei Y et al. Constant time weighted median filtering for stereo matching and beyond[C]. IEEE International Conference on Computer Vision, 49-56(2013).
[23] Mattoccia S. A locally global approach to stereo correspondence[C]. IEEE International Conference on Computer Vision Workshops, 1763-1770(2010).
[24] Felzenszwalb P F, Huttenlocher D P. Efficient belief propagation for early vision[J]. International Journal of Computer Vision, 70, 41-54(2006).
[25] Liang C, Wang L, Liu H. Stereo matching with cross-based region, hierarchical belief propagation and occlusion handling[C]. 2011 IEEE International Conference on Mechatronics and Automation, 1999-2003(2011).
[26] Zhang K, Fang Y, Min D et al. Cross-scale cost aggregation for stereo matching[C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 1590-1597(2014).
[27] Li X, Song Z. Optimization on stereo correspondence based on local feature algorithm[C]. 2017 2nd International Conference on Image, Vision and Computing, 113-117(2017).
[28] Yang H, Yu M, Zhang S. Wide baseline stereo matching based on scale invariant feature transformation with hybrid geometric constraints[J]. IET Computer Vision, 8, 611-619(2014).
[29] Scharstein D, Szeliski R. High-accuracy stereo depth maps using structured light[C]. 2003 IEEE Conference on Computer Vision and Pattern Recognition, 195-202(2003).
[30] Scharstein D, Szeliski R. -12-16)[2017-06-30]. http: ∥vision.middlebury.edu/stereo/.(2015).
[31] Zhang K, Lu J, Lafruit G et al. Real-time accurate stereo with bitwise fast voting on CUDA[C]. IEEE International Conference on Computer Vision Workshops, 794-800(2010).
[32] Mattoccia S, Viti M, Ries F. Near real-time fast bilateral stereo on the GPU[C]. Computer Vision and Pattern Recognition Workshops, 136-143(2011).