Joint shape and color descriptors for 3D urban model retrieval

作     者：Liang Zhang Liqiang Zhang Xiaojing Yao P.Takis Mathiopoulos Chunming Han 

作者机构：State Key Laboratory of Remote Sensing ScienceBeijing Normal UniversityBeijingPeople’s Republic of China The Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingPeople’s Republic of China Department of Informatics and TelecommunicationsUniversity of AthensAthensGreece 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2016年第9卷第11期

页      面：1117-1134页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China[Grant 41371324] 

主　　题：3D urban models shape descriptor color descriptor model retrieval 

摘      要：With the rapid development of photogrammetry,computer vision and three-dimensional(3D)modeling technologies,it is possible to efficiently construct detailed 3D urban ***,large corpora of 3D models,such as the Google 3D Warehouse,are now becoming freely available on the *** to find the proper 3D urban models is a challenging research *** this paper,we join shape descriptors and color descriptors for 3D urban model *** query objects are localized and segmented automatically from the input images by using a new selective search voting *** combining the normalization with the light field descriptor,the Horizontal Light Descriptor is introduced to measure the shape similarity among the normalized urban *** color descriptors are used to represent the color information of the urban *** two types of descriptors are joined to search 3D urban models similar to the query *** results have shown the effectiveness of our approach.