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基于遗传算法与模型投影的三维物体匹配

, PP. 520-525

Keywords: 三维投影,粗细层次结合,Chamfer距离变换,标记图,遗传算法

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Abstract:

基于遗传算法与模型投影的三维物体匹配,实际上是三维参考模型投影参数的搜索和优化过程.本文采用粗细层次结合的策略,即先基于模型外轮廓,再进行整体边缘匹配的方法,使模型参数在优化过程中迅速得到正确的初始值,提高遗传算法优化的效率.相似度评价函数采用34Chamfer距离变换,提出使用距离变换的标记图方法建立目标图像边缘点与其距离图的对应关系,降低噪点的影响,目标图像的特征也可以通过对应关系在匹配过程中被引用.实验结果显示本文方法在三维物体匹配中的有效性.

References

[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)

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