3D articulated model retrieval using depth image input

Jun Yang Lin, May Fang She, Ming Han Tsai*, I-Chen Lin, Yo Chung Lau, Hsu Hang Liu

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

In this paper, a novel framework to retrieve 3D articulated models from a database based on one or few depth images is presented. Existing state-of-the-arts retrieval approaches usually constrain the view points of query images or assume that the target models are rigid-body. When they are applied to retrieving articulated models, the retrieved results are substantially influenced by the model postures. In our work, we extracts the limbs and torso regions from projections and analyzes the features of local regions. The use of both global and local features can alleviate the disturbance of model postures in model retrieval. Experiments show that the proposed method can efficiently retrieve relevant models within a second, and provides higher retrieval accuracy than those of compared methods for not only rigid body 3D models but also models with articulated limbs.

原文English
主出版物標題Computer Vision, Imaging and Computer Graphics Theory and Applications - 13th International Joint Conference, VISIGRAPP 2018, Revised Selected Papers
編輯Dominique Bechmann, Manuela Chessa, Ana Paula Cláudio, Francisco Imai, Andreas Kerren, Paul Richard, Alexandru Telea, Alain Tremeau
發行者Springer Verlag
頁面25-47
頁數23
ISBN(列印)9783030267551
DOIs
出版狀態Published - 27 1月 2018
事件13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 - Funchal, Madeira, Portugal
持續時間: 27 1月 201829 1月 2018

出版系列

名字Communications in Computer and Information Science
997
ISSN(列印)1865-0929
ISSN(電子)1865-0937

Conference

Conference13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018
國家/地區Portugal
城市Funchal, Madeira
期間27/01/1829/01/18

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