Non-rigid 3D shapes retrieval using a hybrid algorithm based on local descriptors

Vahid Keshavarzi; Farshid Hajati

doi:10.1109/iranianmvip.2017.8342337

Non-rigid 3D shapes retrieval using a hybrid algorithm based on local descriptors

Vahid Keshavarzi
, Farshid Hajati

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Recent advances in imaging, 3D processing, Graphic hardware and network have led to rapid increase in 3D geometric models. This rapid increase in 3D data necessitate retrieval effective techniques for management and reuse. The main challenge in retrieval algorithms of 3D objects is to create an algorithm which is robust to transformations and variations. Accordingly we need an algorithm that can provide high distinction features from 3D objects. Therefore, the aim of the present research is the retrieval of non-rigid 3D shapes using a hybrid algorithm based on local descriptors. According to the experiments the proposed algorithm have been compared with known methods of 3D shapes retrieval. The results of the experiments prove the remarkable performance of proposed algorithm.

Original language	English
Title of host publication	2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP)
Place of Publication	United States of America
Publisher	Institute of Electrical and Electronics Engineers
Pages	128-133
ISBN (Print)	9781538644058, 9781538644041, 9781538644065
DOIs	https://doi.org/10.1109/iranianmvip.2017.8342337
Publication status	Published - 23 Apr 2018
Event	2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP) - Isfahan University of Technology, Isfahan, Iran Duration: 22 Nov 2017 → 23 Nov 2017

Conference

Conference	2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP)
City	Isfahan, Iran
Period	22/11/17 → 23/11/17

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10.1109/iranianmvip.2017.8342337

https://hdl.handle.net/1959.11/70793

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@inproceedings{8cae2eca17644595ab45122decb86340,

title = "Non-rigid 3D shapes retrieval using a hybrid algorithm based on local descriptors",

abstract = "Recent advances in imaging, 3D processing, Graphic hardware and network have led to rapid increase in 3D geometric models. This rapid increase in 3D data necessitate retrieval effective techniques for management and reuse. The main challenge in retrieval algorithms of 3D objects is to create an algorithm which is robust to transformations and variations. Accordingly we need an algorithm that can provide high distinction features from 3D objects. Therefore, the aim of the present research is the retrieval of non-rigid 3D shapes using a hybrid algorithm based on local descriptors. According to the experiments the proposed algorithm have been compared with known methods of 3D shapes retrieval. The results of the experiments prove the remarkable performance of proposed algorithm.",

author = "Vahid Keshavarzi and Farshid Hajati",

year = "2018",

month = apr,

day = "23",

doi = "10.1109/iranianmvip.2017.8342337",

language = "English",

isbn = "9781538644058",

pages = "128--133",

booktitle = "2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP)",

publisher = "Institute of Electrical and Electronics Engineers",

note = "2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP) ; Conference date: 22-11-2017 Through 23-11-2017",

}

Keshavarzi, V & Hajati, F 2018, Non-rigid 3D shapes retrieval using a hybrid algorithm based on local descriptors. in 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP). Institute of Electrical and Electronics Engineers, United States of America, pp. 128-133, 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP), Isfahan, Iran, 22/11/17. https://doi.org/10.1109/iranianmvip.2017.8342337

Non-rigid 3D shapes retrieval using a hybrid algorithm based on local descriptors. / Keshavarzi, Vahid; Hajati, Farshid.
2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP). United States of America: Institute of Electrical and Electronics Engineers, 2018. p. 128-133.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Non-rigid 3D shapes retrieval using a hybrid algorithm based on local descriptors

AU - Keshavarzi, Vahid

AU - Hajati, Farshid

PY - 2018/4/23

Y1 - 2018/4/23

N2 - Recent advances in imaging, 3D processing, Graphic hardware and network have led to rapid increase in 3D geometric models. This rapid increase in 3D data necessitate retrieval effective techniques for management and reuse. The main challenge in retrieval algorithms of 3D objects is to create an algorithm which is robust to transformations and variations. Accordingly we need an algorithm that can provide high distinction features from 3D objects. Therefore, the aim of the present research is the retrieval of non-rigid 3D shapes using a hybrid algorithm based on local descriptors. According to the experiments the proposed algorithm have been compared with known methods of 3D shapes retrieval. The results of the experiments prove the remarkable performance of proposed algorithm.

AB - Recent advances in imaging, 3D processing, Graphic hardware and network have led to rapid increase in 3D geometric models. This rapid increase in 3D data necessitate retrieval effective techniques for management and reuse. The main challenge in retrieval algorithms of 3D objects is to create an algorithm which is robust to transformations and variations. Accordingly we need an algorithm that can provide high distinction features from 3D objects. Therefore, the aim of the present research is the retrieval of non-rigid 3D shapes using a hybrid algorithm based on local descriptors. According to the experiments the proposed algorithm have been compared with known methods of 3D shapes retrieval. The results of the experiments prove the remarkable performance of proposed algorithm.

U2 - 10.1109/iranianmvip.2017.8342337

DO - 10.1109/iranianmvip.2017.8342337

M3 - Conference contribution

SN - 9781538644058

SN - 9781538644041

SN - 9781538644065

SP - 128

EP - 133

BT - 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP)

PB - Institute of Electrical and Electronics Engineers

CY - United States of America

T2 - 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP)

Y2 - 22 November 2017 through 23 November 2017

ER -

Non-rigid 3D shapes retrieval using a hybrid algorithm based on local descriptors

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