research-article

3D shape retrieval based on best view selection

Authors:

Daniela Giorgi,

Michela Mortara,

Michela SpagnuoloAuthors Info & Claims

3DOR '10: Proceedings of the ACM workshop on 3D object retrieval

Pages 9 - 14

https://doi.org/10.1145/1877808.1877812

Published: 25 October 2010 Publication History

Abstract

We describe the preliminary results of an ongoing work on content-based 3D retrieval, based on the selection of the best view of 3D objects according to semantic criteria. Experiments show that a single view is sufficient to achieve good performance, if it is the view in which the relevant shape features are maximally exposed.

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Cited By

Li WSu YZhao ZHao TLi Y(2020)Exploring contextual information for view-wised 3D model retrievalMultimedia Tools and Applications10.1007/s11042-020-08967-7Online publication date: 29-May-2020
https://doi.org/10.1007/s11042-020-08967-7
Zhou WJia J(2019)Training deep convolutional neural networks to acquire the best view of a 3D shapeMultimedia Tools and Applications10.1007/s11042-019-08107-wOnline publication date: 3-Sep-2019
https://doi.org/10.1007/s11042-019-08107-w
Li HSun LDong SZHU XCai QDu J(2018)Efficient 3D Object Retrieval Based on Compact Views and Hamming EmbeddingIEEE Access10.1109/ACCESS.2018.28453626(31854-31861)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2845362
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Index Terms

3D shape retrieval based on best view selection

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Published In

cover image ACM Conferences

3DOR '10: Proceedings of the ACM workshop on 3D object retrieval

October 2010

96 pages

ISBN:9781450301602

DOI:10.1145/1877808

Program Chairs:
Mohamed Doudi
TELECOM Lille1/LIFL, France
,
Michela Spagnuolo
CNR-IMATI, Italy
,
Remco Veltkamp
Utrecht University, The Netherlands

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 25 October 2010

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October 25, 2010

Firenze, Italy

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Cited By

Li WSu YZhao ZHao TLi Y(2020)Exploring contextual information for view-wised 3D model retrievalMultimedia Tools and Applications10.1007/s11042-020-08967-7Online publication date: 29-May-2020
https://doi.org/10.1007/s11042-020-08967-7
Zhou WJia J(2019)Training deep convolutional neural networks to acquire the best view of a 3D shapeMultimedia Tools and Applications10.1007/s11042-019-08107-wOnline publication date: 3-Sep-2019
https://doi.org/10.1007/s11042-019-08107-w
Li HSun LDong SZHU XCai QDu J(2018)Efficient 3D Object Retrieval Based on Compact Views and Hamming EmbeddingIEEE Access10.1109/ACCESS.2018.28453626(31854-31861)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2845362
Zhang SLi XHe HMiao Y(2018)A next best view method based on self-occlusion information in depth images for moving objectMultimedia Tools and Applications10.1007/s11042-018-5822-y77:8(9753-9777)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1007/s11042-018-5822-y
Wang DWang BZhao SYao HLiu H(2016)Exploring Discriminative Views for 3D Object RetrievalProceedings, Part I, of the 22nd International Conference on MultiMedia Modeling - Volume 951610.1007/978-3-319-27671-7_63(755-766)Online publication date: 4-Jan-2016
https://dl.acm.org/doi/10.1007/978-3-319-27671-7_63
Biao Leng Jiabei Zeng Ming Yao Zhang Xiong (2015)3D Object Retrieval With Multitopic Model Combining Relevance Feedback and LDA ModelIEEE Transactions on Image Processing10.1109/TIP.2014.237261824:1(94-105)Online publication date: Jan-2015
https://doi.org/10.1109/TIP.2014.2372618
Zhao LLiang SJia JWei Y(2015)Learning best views of 3D shapes from sketch contourThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-015-1091-131:6-8(765-774)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1007/s00371-015-1091-1
Ding KWang WLiu Y(2014)3D model retrieval using Bag-of-View-WordsMultimedia Tools and Applications10.1007/s11042-013-1560-372:3(2701-2722)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1007/s11042-013-1560-3
Liu ZBu SZhou KGao SHan JWu J(2013)A Survey on Partial Retrieval of 3D ShapesJournal of Computer Science and Technology10.1007/s11390-013-1382-928:5(836-851)Online publication date: 17-Sep-2013
https://doi.org/10.1007/s11390-013-1382-9
Biasotti SBai XBustos BCerri AGiorgi DLi LMortara MSipiran IZhang SSpagnuolo M(2012)SHREC'12 trackProceedings of the 5th Eurographics conference on 3D Object Retrieval10.5555/2381194.2381216(101-107)Online publication date: 13-May-2012
https://dl.acm.org/doi/10.5555/2381194.2381216
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