[1] 林志林, 张国良, 姚二亮, 等. 动态场景下基于运动物体检测的立体视觉里程计[J]. 光学学报, 2017, 37(11): 1115001.

    Lin Z L, Zhang G L, Yao E L, et al. Stereo visual odometry based on motion object detection in the dynamic scene[J]. Acta Optica Sinica, 2017, 37(11): 1115001.

[2] 张鑫, 靳雁霞, 薛丹. SICA-SIFT和粒子群优化的图像匹配算法[J]. 激光与光电子学进展, 2017, 54(9): 091002.

    Zhang X, Jin Y X, Xue D. Image matching algorithm based on SICA-SIFT and particle swarm optimization[J]. Laser & Optoelectronics Progress, 2017, 54(9): 091002.

[3] 单宝华, 霍晓洋, 刘洋. 一种极线约束修正数字图像相关匹配的立体视觉测量方法[J]. 中国激光, 2017, 44(8): 0804003.

    Shan B H, Huo X Y, Liu Y. A stereovision measurement method using epipolar constraint to correct digital image correlation matching[J]. Chinese Journal of Lasers, 2017, 44(8): 0804003.

[4] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

[5] BayH, Tuytelaars T, van Gool L. SURF: speeded up robust features[C]∥European Conference on Computer Vision, 2006: 404- 417.

[6] RubleeE, RabaudV, KonoligeK, et al. ORB: an efficient alternative to SIFT or SURF[C]∥International Conference on Computer Vision, 2011: 2564- 2571.

[7] Oliva A, Torralba A. Modeling the shape of the scene: a holistic representation of the spatial envelope[J]. International Journal of Computer Vision, 2001, 42(3): 145-175.

[8] SzegedyC, LiuW, Jia YQ, et al. Going deeper with convolutions[C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2015: 1- 9.

[9] ZhouB, LapedrizaA, XiaoJ, et al. Learning deep features for scene recognition using places database[C]∥Annual Conference on Neural Information Processing Systems, 2014: 487- 495.

[10] Chen ZT, LamO, JacobsonA, et al. Convolutional neural network-based place recognition[C]∥Computer Vision and Pattern Recognition, 2014.

[11] HouY, ZhangH, Zhou SL. Convolutional neural network-based image representation for visual loop closure detection[C]∥IEEE International Conference on Information and Automation, 2015: 2238- 2245.

[12] SimonyanK, ZissermanA. Very deep convolutional networks for large-scale image recognition[C]∥International Conference on Learning Representations, 2015.

[13] SünderhaufN, ShiraziS, DayoubF, et al. On the performance of ConvNet features for place recognition[C]∥IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015: 4297- 4304.

[14] Charikar MS. Similarity estimation techniques from rounding algorithms[C]∥34th Annual ACM Symposium on Theory of Computing, 2002: 380- 388.

[15] RedmonJ, FarhadiA. YOLO9000: better, faster, stronger[C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2017: 6517- 6525.

[16] ToriiA, Arandjelovi R, Sivic J, et al. 24/7 place recognition by view synthesis [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2015: 1808- 1817.