2D Scene Sketch-Based 3D Scene Retrieval

Yuan, Juefei; Li, Bo; Lu, Yijuan; Bai, Song; Bai, Xiang; Bui, Ngoc-Minh; Do, Minh N.; Do, Trong-Le; Duong, Anh-Duc; He, Xinwei; Le, Tu-Khiem; Li, Wenhui; Liu, Anan; Liu, Xiaolong; Nguyen, Khac-Tuan; Nguyen, Vinh-Tiep; Nie, Weizhi; Ninh, Van-Tu; Su, Yuting; Ton-That, Vinh; Tran, Minh-Triet; Xiang, Shu; Zhou, Heyu; Zhou, Yang; Zhou, Zhichao

2D Scene Sketch-Based 3D Scene Retrieval

Files

029-036.pdf (300.48 KB)

Date

2018

Publisher

The Eurographics Association

Abstract

Sketch-based 3D model retrieval has the intuitiveness advantage over other types of retrieval schemes. Currently, there is a lot of research in sketch-based 3D model retrieval, which usually targets the problem of retrieving a list of candidate 3D models using a single sketch as input. 2D scene sketch-based 3D scene retrieval is a brand new research topic in the field of 3D object retrieval. Unlike traditional sketch-based 3D model retrieval which ideally assumes that a query sketch contains only a single object, this is a new 3D model retrieval topic within the context of a 2D scene sketch which contains several objects that may overlap with each other and thus be occluded and also have relative location configurations. It is challenging due to the semantic gap existing between the iconic 2D representation of sketches and more accurate 3D representation of 3D models. But it also has vast applications such as 3D scene reconstruction, autonomous driving cars, 3D geometry video retrieval, and 3D AR/VR Entertainment. Therefore, this research topic deserves our further exploration. To promote this interesting research, we organize this SHREC track and build the first 2D scene sketch-based 3D scene retrieval benchmark by collecting 3D scenes from Google 3D Warehouse and utilizing our previously proposed 2D scene sketch dataset Scene250. The objective of this track is to evaluate the performance of different 2D scene sketch-based 3D scene retrieval algorithms using a 2D sketch query dataset and a 3D Warehouse model dataset. The benchmark contains 250 scene sketches and 1000 3D scene models, and both are equally classified into 10 classes. In this track, six groups from five countries (China, Chile, USA, UK, and Vietnam) have registered for the track, while due to many challenges involved, only 3 groups have successfully submitted 8 runs. The retrieval performance of submitted results has been evaluated using 7 commonly used retrieval performance metrics. We also conduct a thorough analysis and discussion on those methods, and suggest several future research directions to tackle this research problem. We wish this publicly available [YLL18] benchmark, comparative evaluation results and corresponding evaluation code, will further enrich and advance the research of 2D scene sketch-based 3D scene retrieval and its applications.

        @inproceedings{10.2312:3dor.20181050
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {Telea, Alex and Theoharis, Theoharis and Veltkamp, Remco
},
title = {{2D Scene Sketch-Based 3D Scene Retrieval
}},
author = {Yuan, Juefei and 
Li, Bo and 
Le, Tu-Khiem and 
Li, Wenhui and 
Liu, Anan and 
Liu, Xiaolong and 
Nguyen, Khac-Tuan and 
Nguyen, Vinh-Tiep and 
Nie, Weizhi and 
Ninh, Van-Tu and 
Su, Yuting and 
Ton-That, Vinh and 
Lu, Yijuan and 
Tran, Minh-Triet and 
Xiang, Shu and 
Zhou, Heyu and 
Zhou, Yang and 
Zhou, Zhichao and 
Bai, Song and 
Bai, Xiang and 
Bui, Ngoc-Minh and 
Do, Minh N. and 
Do, Trong-Le and 
Duong, Anh-Duc and 
He, Xinwei
},
year = {2018
},
publisher = {The Eurographics Association
},
ISSN = {1997-0471
},
ISBN = {978-3-03868-053-6
},
DOI = {10.2312/3dor.20181050
}
}