Abstract：A 3D matching method based on genetic algorithm (GA) and model projection is presented, which is a process of searching for the best parameters of projective transform. Coarse to fine strategy is adopted. Firstly, based on the outermost boundary of model all the edges are matched. Then the correct initial values of parameters are obtained quickly to improve the efficiency of the algorithm. The fitness function of GA is based on 34 chamfer distance transform. Finally, label mapping is proposed to deal with the noise in distance map. Meanwhile, features of edge pixels, which are difficult to be applied directly to the distance map, are available to label map. Experimental results show that the proposed method is effective in 3D modelbased matching.
张煜. 基于遗传算法与模型投影的三维物体匹配[J]. 模式识别与人工智能, 2006, 19(4): 520-525.
ZHANG Yu. Matching of 3D Object Based on Genetic Algorithm and Model Projection. , 2006, 19(4): 520-525.
[1] Murase H, Nayar S K. Visual Learning and Recognition of 3D Objects from Appearance. International Journal of Computer Vision, 1995, 14(1): 5-24 [2] Chin R T, Dyer C R. Model-Based Recognition in Robot Vision. ACM Computing Surveys, 1986, 18(1): 67-108 [3] Holland J H. Adaptation in Natural and Artificial Systems. Ann Arbor, USA: University of Michigan Press, 1975 [4] Tsang P W M. A Genetic Algorithm for Aligning Object Shapes. Image and Vision Computing, 1997, 15(11): 819-831 [5] Toet A, Hajema W P. Genetic Contour Matching. Pattern Recognition Letters, 1995, 16(8): 849-856 [6] Yuen S Y, Ma C H. Genetic Algorithm with Competitive Image Labeling and Least Square. Pattern Recognition, 2000, 33(12): 1949-1966 [7] http://www.gavrila.net/Computer_Vision/Research/Chamfer_System/chamfer_system.html [8] Shih F Y, Mitchell O R. Mathematical Morphology Approach to Euclidean Distance Transformation. IEEE Trans on Image Processing, 1992, 1(2): 197-204 [9] Cui Y. Image Processing and Analyzing-The Method and Application of Mathematical Morphology. Beijing, China: Science Press, 2000 (in Chinese) (崔 屹.图像处理与分析——数字形态学方法及应用.北京:科学出版社, 2000)
2006, Vol. 19 
