[1] Lowe D G.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision, 2004, 60(2):91-110. [2] Bay H, Tuytelaars T, van Gool L.SURF:speeded up robust features[M]//Computer Vision-ECCV 2006.Berlin:Springer Berlin Heidelberg, 2006:404-417. [3] Calonder M, Lepetit V, Strecha C, et al.BRIEF:binary robust independent elementary features[M]//Computer Vision-ECCV 2010.Berlin:Springer Berlin Heidelberg, 2010:778-792. [4] Rublee E, Rabaud V, Konolige K, et al.ORB:an efficient alternative to SIFT or SURF[C]//2011 International Conference on Computer Vision.Barcelona:IEEE Press, 2011:2564-2571. [5] Rosten E, Drummond T.Machine learning for high-speed corner detection[M]//Computer Vision-ECCV 2006.Berlin:Springer Berlin Heidelberg, 2006:430-443. [6] Tombari F, Franchi A, Di L.BOLD features to detect texture-less objects[C]//2013 IEEE International Conference on Computer Vision.Sydney:IEEE Press, 2013:1265-1272. [7] Chan J, Lee J A, Qian Kemao.BORDER:an oriented rectangles approach to texture-less object recognition[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Las Vegas:IEEE Press, 2016:2855-2863. [8] Hinterstoisser S, Holzer S, Cagniart C, et al.Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes[C]//2011 International Confe-rence on Computer Vision.Barcelona:IEEE Press, 2011:858-865. [9] Hinterstoisser S, Cagniart C, Ilic S, et al.Gradient response maps for real-time detection of textureless objects[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(5):876-888. [10] Cvetković S, Grujić N, Ilić S, et al.Detection of texture-less objects by line-based approach[J].Facta Universitatis, Series:Automatic Control and Robotics, 2020, 18(2):79-94. [11] Chan J, Lee J A, Qian Kemao.BIND:binary integrated net descriptors for texture-less object recognition[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Honolulu:IEEE Press, 2017:3020-3028. [12] Yu Hancheng, Qin Haibao, Peng Maoting.A fast approach to texture-less object detection based on orientation compressing map and discriminative regional weight[J].Algorithms, 2018, 11(12):201-217. [13] Fang Wei, Ding Yewen, Zhang Feihong, et al.DOG:a new background removal for object recognition from images[J].Neurocomputing, 2019, 361:85-91. [14] Kaskman R, Shugurov I, Zakharov S, et al.6 DoF pose estimation of textureless objects from multiple RGB frames[C]//Computer Vision-ECCV 2020 Workshops.[S.l.]:Springer, 2020:612-630. [15] Jiang Ping, Ishihara Y, Sugiyama N, et al.Depth image-based deep learning of grasp planning for textureless planar-faced objects in vision-guided robotic Bin-picking[J].Sensors, 2020, 20(3):706-729. [16] Weickert J.Anisotropic diffusion in image processing[M].Stuttgart:Teubner, 1998:56-57. [17] Kuhne G, Weickert J, Schuster O, et al.A tensor-driven active contour model for moving object segmentation[C]//Proceedings 2001 International Conference on Image Processing.Thessaloniki:IEEE Press, 2001:73-76. [18] Wang Zhou, Bovik A C.Modern image quality assessment[J].Synthesis Lectures on Image, Video, and Multimedia Processing, 2006, 2(1):1-156. [19] Zhang Weichuan, Sun Changming.Corner detection using multi-directional structure tensor with multiple scales[J].International Journal of Computer Vision, 2020, 128(2):438-459. [20] Li Shimiao.A review of feature detection and match algorithms for localization and mapping[J].IOP Conference Series:Materials Science and Engineering, 2017, 231:012003. [21] Dong J, Soatto S.Domain-size pooling in local descriptors:DSP-SIFT[C]//Proceedings of the IEEE Confe-rence on Computer Vision and Pattern Recognition.Baston:IEEE Press, 2015:5097-5106. |