3D Object Retrieval with Multimodal Views
Yue Gao, An-An Liu, Weizhi Nie, Yuting Su, Qionghai Dai, Fuhai Chen, Yingying Jennifer Chen, Yanhua Cheng, Shuilong Dong, Xingyue Duan, Jianlong Fu, Zan Gao, Haiyun Guo, Xin Guo, Kaiqi Huang, Rongrong Ji, Yingfeng Jiang, Haisheng Li, Hanqing Lu, Jianming Song · Eurographics · 2015
This paper reports the results of the SHREC'15 track: 3D Object Retrieval with Multimodal Views, which goal is to evaluate the performance of retrieval algorithms when multimodal views are employed for 3D object representation. In this task, a collection of 505 objects is generated and both the color images and the depth images are provided for each object. 311 objects are selected as the queries and average retrieval performance is measured. The track attracted six participants and the submission of 26 runs, to two tasks. The evaluation results show a promising scenario about multimodal view-based 3D retrieval methods, and reveal interesting insights in dealing with multimodal data.