[1] Rusu R B,Blodow N,Marton Z C,Beetz M.Aligning point cloud views using persistent feature histograms[A]. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems[C]. Nice,France:IEEE,2008.3384-3391.
[2] Rusu R B,Blodow N,Beetz M.Fast point feature histograms(FPFH) for 3D registration[A]. Proceedings of IEEE International Conference on Robotics and Automation[C]. Kobe,Japan:IEEE,2009.3212-3217.
[3] Lazebnik S,Schmid C,Ponce J.A sparse texture representation using local affine regions[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(8):1265-1278.
[4] Alexandre L A.3D descriptors for object and category recognition:a comparative evaluation[A]. Proceedings of IEEE International Conference on Intelligent Robotic Systems(Vol Workshop on Color-Depth Camera Fusion in Robotics)[C]. Vilamoura,Portugal:IEEE,2012.1-6.
[5] 陈北京,王蔚,宋加涛,任小波.一种融合二值边缘特征和灰度特征的人脸识别方法[J]. 电子学报,2009,37(6):1180-1184. Chen Bei-jing,Wang Wei,Song Jia-tao,Ren Xiao-bo.A novel face recognition method based on the fusion of binary edge and grayscale features[J]. Acta Electronica Sinica,2009,37(6):1180-1184.(in Chinese)
[6] 李新德,潘锦东,Dezert Jean.一种基于DSmT和HMM 的序列飞机目标识别算法[J]. 自动化学报,2014,40(12):2862-2876. Li Xin-de,Pan Jin-dong,Dezert Jean.A target recognition algorithm for sequential aircraft based on DSmT and HMM[J]. Acta Automatica Sinica,2014,40(12):2862-2876.(in Chinese)
[7] Bo L,Lai K,Ren X,Fox D.Object recognition with hierarchical kernel descriptors[A]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition[C]. CO,USA:Colorado Springs,2011.1729-1736.
[8] Bo L,Ren X,Fox D.Depth kernel descriptors for object recognition[A]. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems[C]. San Francisco,CA,USA:IEEE,2011.821-826.
[9] Janoch A,Karayev S,Jia Y,Barron J T,Fritz M,Saenko K,Darrell T.A category-level 3-D object dataset:putting the kinect to work[A]. 2011 IEEE International Conference on Computer Vision Workshops(ICCV Workshops)[C]. Barcelona,Spanish:IEEE,2011.1168-1174.
[10] Mirdanies M,Prihatmanto A S,Rijanto E.Object recognition system in remote controlled weapon station using SIFT and SURF methods[J]. Mechatronics,Electrical Power,and Vehicular Technology,2013,4(2):99-108.
[11] Lowe D G.Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision,2004,60(2):91-110.
[12] Allaire S,Kim J J,Breen S L,Jaffray D A,Pekar V.Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis[A]. Proceedings of 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops[C]. Anchorage,AK:IEEE,2008.1-8.
[13] Sivic J,Zisserman A.Video Google:a text retrieval approach to object matching in videos[A]. Proceedings of 9th IEEE International Conference on Computer Vision[C]. Nice,France:IEEE,2003.1470-1477.
[14] Arthur D,Vassilvitskii S.k-means++:The advantages of careful seeding[A]. Proceedings of the 18th annual ACM-SIAM symposium on discrete algorithms[C]. PA,USA:Society for Industrial and Applied Mathematics,2007.1027-1035.
[15] Lai K,Bo L,Ren X,Fox D.RGB-D dataset[DB]. http://rgbd-dataset.cs.washington.edu/dataset.html,2011-03-05.
[16] Rusu R B,Cousins S.3D is here:point cloud library(pcl)[A]. Proceedings of 2011 IEEE International Conference on Robotics and Automation[C]. Shanghai,China:IEEE,2011.1-4.
[17] Dezert J.Foundations for a new theory of plausible and paradoxical reasoning[J]. Information and Security,2002,9:13-57.
[18] 李新德,Dezert Jean,黄心汉,孟正大,吴雪建.一种快速分层递阶DSmT近似推理融合方法(A)[J]. 电子学报,2010,38(11):2566-2572. Li Xin-de,Dezert Jean,Huang Xin-han,Meng Zheng-da,Wu Xue-jian.A fast approximate reasoning method in hierarchical DSmT(A)[J]. Acta Electronica Sinica,2010,38(11):2566-2572.(in Chinese)
[19] Murphy C K.Combining belief functions when evidence conflicts[J]. Decision Support Systems,2000,29(1):1-9. |