摘要
从对象识别的角度探讨了Ｖｏｒｏｎｏｉ图和遗传算法的应用，针对不同应用情形重新定义了基于Ｖｏｒｏｎｏｉ图与形的相似性度量．采用遗传算法以加快识别速度，并将视角和模型参数纳入染色体编码，实现了快速的类模型匹配的对象检测和识别．
The application of Voronoi graph and genetic algorithm in object recognition was investigated. The shape similarity metrics were redefined in some cases of applications. To speed up the searching process for matching, the genetic algorithm was used. Further, the viewing angles and the model parameters were encoded into the chromosome string, and finally the fast generic object recognition and detection were realized.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
1998年第5期391-396,共6页
Journal of Infrared and Millimeter Waves
关键词
VORONOI图
遗传算法
对象识别
计算机视觉
Voronoi graph, shape similarity metrics, genetic algorithm, generic object recognition.
