采用多形状特征融合的多视点目标识别
李平, 魏仲慧, 何昕, 何丁龙, 何家维, 梁国龙, 凌剑勇. 采用多形状特征融合的多视点目标识别[J]. 光学 精密工程, 2014, 22(12): 3368.
LI Ping, WEI Zhong-hui, HE Xin, HE Ding-long, HE Jia-wei, LIANG Guo-long, LING Jian-yong. Object recognition based on shape feature fusion under multi-views[J]. Optics and Precision Engineering, 2014, 22(12): 3368.
[1] 曹健.显著角点特征在三维模型检索中的应用[J]. 计算机仿真, 2012, 29(12): 321-324.
CAO J. Application of salient corner features in 3D model retrieval [J]. Computer Simulation, 2012, 29(12): 321-324. (in Chinese)
[2] ALYUZ N, GOKBERK B, AKARUN L. 3-D Face recognition under occlusion using masked projection [J]. IEEE Transactions on Information Forensics and Security, 2013, 8(5): 789-802.
[3] 朱旭峰, 马彩文, 刘波. 基于特征级融合和支持向量机的飞机识别[J]. 光电子·激光, 2011, 22(11): 1710-1713.
ZHU X F, MA C W, LIU B. Aircraft recognition scheme based on feature fusion and support vector machine [J]. Journal of Optoelectronics·Laser, 2011, 22(11): 1710-1713. (in Chinese)
[4] 丁昊, 李旭东, 赵慧洁. 基于SVDD的三维目标多视点视图建模[J]. 北京航空航天大学学报, 2012,38(11): 1517-1521.
DING H, LI X D, ZHAO H J. Method of multi-view modeling for 3D target based on SVDD [J]. Journal of Beijing University of Aeronautics and Astronautics, 2012,38(11): 1517-1521. (in Chinese)
[5] 朱旭锋, 马彩文. 基于多不变量和多分类器融合的飞机识别[J]. 仪器仪表学报, 2011,32(7): 1621-1627.
ZHU X F, MA C W. Aircraft recognition based on multiple classifier fusion with multiple invariants[J]. Chinese Journal of Scientific Instrument, 2011, 32(7): 1621-1627. (in Chinese)
[6] 薛鹏飞, 胡玉兰. 小波和仿射不变矩的目标特征提取方法研究[J]. 沈阳理工大学学报, 2012, 31 (3): 11- 14.
XUE P F, HU Y L. Method of feature extraction of the target based on wavelet moment and affine invariant moment[J]. Journal of Shenyang Ligong University, 2012, 31(3): 11-14. (in Chinese)
[7] SINGH CH D,POOJA. Local and global features based image retrieval system using orthogonal radial moments[J]. Optics and Lasers in Engineering, 2012,50: 655-667.
[8] 易盟, 郭宝龙, 张旭. 基于复合Zernike矩相角估计的图像配准[J]. 光学 精密工程, 2012, 20(5): 1117-1125.
[9] 杨云, 岳柱. 基于融合图像轮廓矩和Harris角点方法的遮挡人体目标识别研究[J]. 液晶与显示, 2013, 28(2): 273-277.
[10] 许强, 马登武. 傅里叶描述子与角点相结合的形状匹配[J]. 光电工程, 2013,40(6): 123-128.
[11] 陈晓飞. 基于骨架的目标表示和识别技术研究[D]. 长沙: 国防科技大学, 2004.
CHEN X F. Research on object representation and recognition techniques based on skeleton [D]. Changsha: National University of Defense Technology, 2004. (in Chinese)
[12] 王巍, 赵红蕊. 面向影响匹配的SUSAN角点检测[J]. 遥感学报, 2011,15(5): 948-956.
WANG W, ZHAO H R. The improvement of SUSAN for image matching [J]. Journal of Remote Sensing, 2011,15(5): 948-956. (in Chinese)
[13] 储珺, 郭卢安政, 赵桂花. 采用环形模板的棋盘格角点检测[J]. 光学 精密工程, 2013, 21(1): 189-196.
[14] SHUI P L,ZHANG W CH. Corner detection and classification using anisotropic directional derivative representations[J]. IEEE Transactions on Image Processing, 2013, 22(8): 3204-3218.
[15] HU M K. Visual Pattern recognition by moment invariants[J]. IRE Transaction on Information Theory, 1962, 8(2): 179-187.
[16] FLUSSER J,SUK T. Pattern recognition by affine moment invariants[J]. Pattern Recognition, 1993,26(1): 167-174.
[17] WU Y Y,WU Y Q. Shape-based image retrieval using combining global and local shape features[C]. CISP’09, 2nd International Congress on Image and Signal Processing Tian Jin, China, 2009: 1-5.
[18] SWETS D, WENG J. Using discriminant eigenfeatrues for image retrieval [J]. IEEE Trans. on PAMI, 1996, 18 (8): 831-836.
[19] HYVARINEN A. Fast and robust fixed-point algorithms for independent component analysis[J]. IEEE Transactions on Neural Networks, 10(3): 626-634.
[20] EGGERT D,BOWYER K. Computing the perspective projection aspect graph of solids of revolution [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(2): 109-128.
[21] SHILANE P, MIN P, KAZHAN M, et al.. Princeton shape benchmark[S].2004, Available: http://shape.cs.princeton.edu/benchmark/.
[22] CHANG CH CH,LIN C J. LIBSVM: a library for support vector machines[EL].2001, Software available at http://www.csie.ntu.edu.tw/-cjlin/libsvm
李平, 魏仲慧, 何昕, 何丁龙, 何家维, 梁国龙, 凌剑勇. 采用多形状特征融合的多视点目标识别[J]. 光学 精密工程, 2014, 22(12): 3368. LI Ping, WEI Zhong-hui, HE Xin, HE Ding-long, HE Jia-wei, LIANG Guo-long, LING Jian-yong. Object recognition based on shape feature fusion under multi-views[J]. Optics and Precision Engineering, 2014, 22(12): 3368.