A Recognition Approach of 3-D Objects based on the Tsallis Entropy

摘要：

　　As an attractive descriptor of 3-D object surfaces,spin image has attracted a considerable amount of researchers attention.But there are several unresolved problems about the spin images,such as the sharp increase of data amount.By using the Tsallis entropy (TESI),a concise representation of spin image is proposed.This representation can convert a spin image to a scalar by using the Tsallis entropy of the spin image,so that a 3-D object can be described by using a vector which is composed of the Tsallis entropies.Furthermore,the spin images from new algorithm are rotation invariant,translation invariant and scale invariant in correlation sense.We discussed the application of TESI,and the experiments results can prove the efficient of the approach.

关键词： 3-D Object recognition Tsallis entropy Spin image Scale invariant Correlation invariant

作者: Wang Ping Wang Wei Gao Ying-hui Li Shi-fei

作者单位: ATR Key Lab.National University of Defense Technology Changsha, China, 410073 Aerospace Early Warning Lab.Air Force Early Warning Academy Wuhan, China

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-4

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）