3D Object Retrieval with Multimodal Views

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.

• Type: Journal
• Year: 2015
• Where: 3DOR
• Authors: Yue Gao, Anan Liu, Weizhi Nie, Yuting Su, Qionghai Dai, Fuhai Chen, Yingying 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, Jing Sun, Tieniu Tan, Jinqiao Wang, Huanpu Yin, Chaoli Zhang, Guotai Zhang, Yan Zhang, Chaoyang Zhao, Xin Zhao, Guibo Zhu
• Keywords: 3DOR 2015, Computer Graphics