[1] LI P, WANG R S, WANG Y X et al. Evaluation of the ICP algorithm in 3D point cloud registration[J]. IEEE Access, 8, 68030-68048(2020).

[2] TANG H, ZHOU M Q, GENG G H. Point cloud registration algorithm based on extended point feature histogram feature[J]. Laser & Optoelectronics Progress, 56, 241503(2019).

[3] LU J, GUO C L, FANG Y et al. Fast point cloud registration algorithm using multiscale angle features[J]. Journal of Electronic Imaging, 26, 033019(2017).

[4] BELONGIE S, MALIK J, PUZICHA J. Shape matching and object recognition using shape contexts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 509-522(2002).

[5] KURNIANGGORO L, WAHYONO, JO K H. A survey of 2D shape representation: methods, evaluations, and future research directions[J]. Neurocomputing, 300, 1-16(2018).

[6] KÖRTGEN M, PARK G J, NOVOTNI M et al. 3D shape matching with 3D shape contexts[C], 5-17(2003).

[7] KOKKINOS I, BRONSTEIN M M, LITMAN R et al. Intrinsic shape context descriptors for deformable shapes[C], 159-166(2012).

[8] LI Z M, KUANG Z Z, LIU Y J et al. Multiscale shape context and re-ranking for deformable shape retrieval[J]. Computers & Graphics, 54, 8-17(2016).

[9] LIU W H, LI Z H, ZHANG G et al. Adaptive 3D shape context representation for motion trajectory classification[J]. Multimedia Tools and Applications, 76, 15413-15434(2017).

[10] XU G X, PANG Y J, BAI Z X et al. A fast point clouds registration algorithm for laser scanners[J]. Applied Sciences, 11, 3426(2021).

[11] BU Y, ZHU S Q, WANG Z et al. Workpiece recognition and localization based on improved shape context features[J]. Mechanical Engineering & Automation, 40-41, 44(2016).

[12] ZI L L, CONG X, YANG P. 3D shape function recognition based on contextual relationship of shape parts[J]. Application Research of Computers, 36, 296-298(2019).

[13] ZHU C, YANG J Y, SHAO Z P et al. Vision based hand gesture recognition using 3D shape context[J]. IEEE/CAA Journal of Automatica Sinica, 8, 1600-1613(2021).

[14] LIU L L, LIU B L. Comparison of several different registration algorithms[J]. International Journal of Advanced Network, Monitoring and Controls, 5, 22-27(2020).

[15] HOU B, JIN S Z, WANG Y et al. Comparison of point cloud registration methods in coarse registration[J]. Laser & Optoelectronics Progress, 57, 081502(2020).

[16] MORI G, BELONGIE S, MALIK J. Efficient shape matching using shape contexts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 1832-1837(2005).

[17] BELONGIE S, MORI G, MALIK J. Matching with shape contexts[M]. KRIM H, YEZZI A. Statistics and Analysis of Shapes, 81-105(2006).

[18] TOMBARI F, SALTI S, DI STEFANO L. Unique shape context for 3D data description[C], 57-62(2010).

[19] BI Y, PAN M Q, ZHANG S et al. Overview of 3D point cloud super-resolution technology[J]. Chinese Optics, 15, 210-223(2022).

[20] SUN X L, HAN G L, GUO L H et al. Infrared-visible video automatic registration with contour feature matching[J]. Optics and Precision Engineering, 28, 1140-1151(2020).

[21] LIU C J, HAO Z C, YANG J C et al. Object 3D position estimation based on instance segmentation[J]. Chinese Journal of Liquid Crystals and Displays, 36, 1535-1544(2021).