3D Object Retrieval with Multimodal Views

Abstract
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.
Description

        
@inproceedings{
10.2312:3dor.20151066
, booktitle = {
Eurographics Workshop on 3D Object Retrieval
}, editor = {
I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp
}, title = {{
3D Object Retrieval with Multimodal Views
}}, author = {
Gao, Yue
and
Liu, Anan
and
Fu, Jianlong
and
Gao, Zan
and
Guo, Haiyun
and
Guo, Xin
and
Huang, Kaiqi
and
Ji, Rongrong
and
Jiang, Yingfeng
and
Li, Haisheng
and
Lu, Hanqing
and
Song, Jianming
and
Nie, Weizhi
and
Sun, Jing
and
Tan, Tieniu
and
Wang, Jinqiao
and
Yin, Huanpu
and
Zhang, Chaoli
and
Zhang, Guotai
and
Zhang, Yan
and
Zhang, Yan
and
Zhao, Chaoyang
and
Zhao, Xin
and
Su, Yuting
and
Zhu, Guibo
and
Dai, Qionghai
and
Chen, Fuhai
and
Chen, Yingying
and
Cheng, Yanhua
and
Dong, Shuilong
and
Duan, Xingyue
}, year = {
2015
}, publisher = {
The Eurographics Association
}, ISBN = {}, DOI = {
10.2312/3dor.20151066
} }
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