TY - GEN
T1 - SHREC'18 track
T2 - 11th Eurographics Workshop on 3D Object Retrieval, 3DOR 2018
AU - Abdul-Rashid, Hameed
AU - Yuan, Juefei
AU - Li, Bo
AU - Lu, Yijuan
AU - Bai, Song
AU - Bai, Xiang
AU - Bui, Ngoc Minh
AU - Do, Minh N.
AU - Do, Trong Le
AU - Duong, Anh Duc
AU - He, Xinwei
AU - Le, Tu Khiem
AU - Li, Wenhui
AU - Liu, Anan
AU - Liu, Xiaolong
AU - Nguyen, Khac Tuan
AU - Nguyen, Vinh Tiep
AU - Nie, Weizhi
AU - Ninh, Van Tu
AU - Su, Yuting
AU - Ton-That, Vinh
AU - Tran, Minh Triet
AU - Xiang, Shu
AU - Zhou, Heyu
AU - Zhou, Yang
AU - Zhou, Zhichao
N1 - Publisher Copyright:
© 2018 The Eurographics Association.
PY - 2018
Y1 - 2018
N2 - 2D scene image-based 3D scene retrieval is a new research topic in the field of 3D object retrieval. Given a 2D scene image, it is to search for relevant 3D scenes from a dataset. It has an intuitive and convenient framework which allows users to learn, search, and utilize the retrieved results for vast related applications, such as automatic 3D content generation for 3D movie, game and animation production, robotic vision, and consumer electronics apps development, and autonomous vehicles. To advance this promising research, we organize this SHREC track and build the first 2D scene image-based 3D scene retrieval benchmark by collecting 2D images from ImageNet and 3D scenes from Google 3D Warehouse. The benchmark contains uniformly classified 10,000 2D scene images and 1,000 3D scene models of ten (10) categories. In this track, seven (7) groups from five countries (China, Chile, USA, UK, and Vietnam) have registered for the track, while due to many challenges involved, only three (3) groups have successfully submitted ten (10) runs of five methods. To have a comprehensive comparison, seven (7) commonly-used retrieval performance metrics have been used to evaluate their retrieval performance. We also suggest several future research directions for this research topic. We wish this publicly available [ARYLL18] benchmark, comparative evaluation results and corresponding evaluation code, will further enrich and boost the research of 2D scene image-based 3D scene retrieval and its applications.
AB - 2D scene image-based 3D scene retrieval is a new research topic in the field of 3D object retrieval. Given a 2D scene image, it is to search for relevant 3D scenes from a dataset. It has an intuitive and convenient framework which allows users to learn, search, and utilize the retrieved results for vast related applications, such as automatic 3D content generation for 3D movie, game and animation production, robotic vision, and consumer electronics apps development, and autonomous vehicles. To advance this promising research, we organize this SHREC track and build the first 2D scene image-based 3D scene retrieval benchmark by collecting 2D images from ImageNet and 3D scenes from Google 3D Warehouse. The benchmark contains uniformly classified 10,000 2D scene images and 1,000 3D scene models of ten (10) categories. In this track, seven (7) groups from five countries (China, Chile, USA, UK, and Vietnam) have registered for the track, while due to many challenges involved, only three (3) groups have successfully submitted ten (10) runs of five methods. To have a comprehensive comparison, seven (7) commonly-used retrieval performance metrics have been used to evaluate their retrieval performance. We also suggest several future research directions for this research topic. We wish this publicly available [ARYLL18] benchmark, comparative evaluation results and corresponding evaluation code, will further enrich and boost the research of 2D scene image-based 3D scene retrieval and its applications.
UR - http://www.scopus.com/inward/record.url?scp=85063035713&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063035713&partnerID=8YFLogxK
U2 - 10.2312/3dor.20181051
DO - 10.2312/3dor.20181051
M3 - Conference contribution
AN - SCOPUS:85063035713
T3 - Eurographics Workshop on 3D Object Retrieval, EG 3DOR
SP - 37
EP - 44
BT - EG 3DOR 2018 - Eurographics Workshop on 3D Object Retrieval
PB - Eurographics Association
Y2 - 16 April 2018
ER -