SHREC'17: Deformable shape retrieval with missing parts

E. Rodolà; L. Cosmo; O. Litany; M. M. Bronstein; A. M. Bronstein; N. Audebert; A. Ben Hamza; A. Boulch; U. Castellani; M. N. Do; A. D. Duong; T. Furuya; A. Gasparetto; Y. Hong; J. Kim; B. Le Saux; R. Litman; M. Masoumi; G. Minello; H. D. Nguyen; V. T. Nguyen; R. Ohbuchi; V. K. Pham; T. V. Phan; M. Rezaei; A. Torsello; M. T. Tran; Q. T. Tran; B. Truong; L. Wan; C. Zou

doi:10.2312/3dor.20171057

SHREC'17: Deformable shape retrieval with missing parts

E. Rodolà, L. Cosmo, O. Litany, M. M. Bronstein, A. M. Bronstein, N. Audebert, A. Ben Hamza, A. Boulch, U. Castellani, M. N. Do, A. D. Duong, T. Furuya, A. Gasparetto, Y. Hong, J. Kim, B. Le Saux, R. Litman, M. Masoumi, G. Minello, H. D. NguyenV. T. Nguyen, R. Ohbuchi, V. K. Pham, T. V. Phan, M. Rezaei, A. Torsello, M. T. Tran, Q. T. Tran, B. Truong, L. Wan, C. Zou

Tel Aviv University, Technion - Israel Institute of Technology

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

Abstract

Partial similarity problems arise in numerous applications that involve real data acquisition by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this setting, the shapes to be retrieved may undergo a variety of transformations simultaneously, such as non-rigid deformations (changes in pose), topological noise, and missing parts - a combination of nuisance factors that renders the retrieval process extremely challenging. With this benchmark, we aim to evaluate the state of the art in deformable shape retrieval under such kind of transformations. The benchmark is organized in two sub-challenges exemplifying different data modalities (3D vs. 2.5D). A total of 15 retrieval algorithms were evaluated in the contest; this paper presents the details of the dataset, and shows thorough comparisons among all competing methods.

Original language	English
Title of host publication	EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval
Editors	Maks Ovsjanikov, Florent Dupont, Ioannis Pratikakis
Publisher	Eurographics Association
Pages	85-94
Number of pages	10
ISBN (Electronic)	9783038680307
DOIs	https://doi.org/10.2312/3dor.20171057
State	Published - 2017
Event	10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017 - Lyon, France Duration: 23 Apr 2017 → 24 Apr 2017

Publication series

Name	Eurographics Workshop on 3D Object Retrieval, EG 3DOR
Volume	2017-April

Conference

Conference	10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017
Country/Territory	France
City	Lyon
Period	23/04/17 → 24/04/17

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Human-Computer Interaction

Access to Document

10.2312/3dor.20171057

Cite this

Rodolà, E., Cosmo, L., Litany, O., Bronstein, M. M., Bronstein, A. M., Audebert, N., Ben Hamza, A., Boulch, A., Castellani, U., Do, M. N., Duong, A. D., Furuya, T., Gasparetto, A., Hong, Y., Kim, J., Le Saux, B., Litman, R., Masoumi, M., Minello, G., ... Zou, C. (2017). SHREC'17: Deformable shape retrieval with missing parts. In M. Ovsjanikov, F. Dupont, & I. Pratikakis (Eds.), EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval (pp. 85-94). (Eurographics Workshop on 3D Object Retrieval, EG 3DOR; Vol. 2017-April). Eurographics Association. https://doi.org/10.2312/3dor.20171057

@inproceedings{bbded3f7acf646b6865c52d445973cc5,

title = "SHREC'17: Deformable shape retrieval with missing parts",

abstract = "Partial similarity problems arise in numerous applications that involve real data acquisition by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this setting, the shapes to be retrieved may undergo a variety of transformations simultaneously, such as non-rigid deformations (changes in pose), topological noise, and missing parts - a combination of nuisance factors that renders the retrieval process extremely challenging. With this benchmark, we aim to evaluate the state of the art in deformable shape retrieval under such kind of transformations. The benchmark is organized in two sub-challenges exemplifying different data modalities (3D vs. 2.5D). A total of 15 retrieval algorithms were evaluated in the contest; this paper presents the details of the dataset, and shows thorough comparisons among all competing methods.",

author = "E. Rodol{\`a} and L. Cosmo and O. Litany and Bronstein, {M. M.} and Bronstein, {A. M.} and N. Audebert and {Ben Hamza}, A. and A. Boulch and U. Castellani and Do, {M. N.} and Duong, {A. D.} and T. Furuya and A. Gasparetto and Y. Hong and J. Kim and {Le Saux}, B. and R. Litman and M. Masoumi and G. Minello and Nguyen, {H. D.} and Nguyen, {V. T.} and R. Ohbuchi and Pham, {V. K.} and Phan, {T. V.} and M. Rezaei and A. Torsello and Tran, {M. T.} and Tran, {Q. T.} and B. Truong and L. Wan and C. Zou",

note = "Publisher Copyright: {\textcopyright} 2017 The Eurographics Association.; 10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017 ; Conference date: 23-04-2017 Through 24-04-2017",

year = "2017",

doi = "10.2312/3dor.20171057",

language = "الإنجليزيّة",

series = "Eurographics Workshop on 3D Object Retrieval, EG 3DOR",

publisher = "Eurographics Association",

pages = "85--94",

editor = "Maks Ovsjanikov and Florent Dupont and Ioannis Pratikakis",

booktitle = "EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval",

}

Rodolà, E, Cosmo, L, Litany, O, Bronstein, MM, Bronstein, AM, Audebert, N, Ben Hamza, A, Boulch, A, Castellani, U, Do, MN, Duong, AD, Furuya, T, Gasparetto, A, Hong, Y, Kim, J, Le Saux, B, Litman, R, Masoumi, M, Minello, G, Nguyen, HD, Nguyen, VT, Ohbuchi, R, Pham, VK, Phan, TV, Rezaei, M, Torsello, A, Tran, MT, Tran, QT, Truong, B, Wan, L & Zou, C 2017, SHREC'17: Deformable shape retrieval with missing parts. in M Ovsjanikov, F Dupont & I Pratikakis (eds), EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval. Eurographics Workshop on 3D Object Retrieval, EG 3DOR, vol. 2017-April, Eurographics Association, pp. 85-94, 10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017, Lyon, France, 23/04/17. https://doi.org/10.2312/3dor.20171057

SHREC'17: Deformable shape retrieval with missing parts. / Rodolà, E.; Cosmo, L.; Litany, O. et al.
EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval. ed. / Maks Ovsjanikov; Florent Dupont; Ioannis Pratikakis. Eurographics Association, 2017. p. 85-94 (Eurographics Workshop on 3D Object Retrieval, EG 3DOR; Vol. 2017-April).

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

TY - GEN

T1 - SHREC'17

T2 - 10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017

AU - Rodolà, E.

AU - Cosmo, L.

AU - Litany, O.

AU - Bronstein, M. M.

AU - Bronstein, A. M.

AU - Audebert, N.

AU - Ben Hamza, A.

AU - Boulch, A.

AU - Castellani, U.

AU - Do, M. N.

AU - Duong, A. D.

AU - Furuya, T.

AU - Gasparetto, A.

AU - Hong, Y.

AU - Kim, J.

AU - Le Saux, B.

AU - Litman, R.

AU - Masoumi, M.

AU - Minello, G.

AU - Nguyen, H. D.

AU - Nguyen, V. T.

AU - Ohbuchi, R.

AU - Pham, V. K.

AU - Phan, T. V.

AU - Rezaei, M.

AU - Torsello, A.

AU - Tran, M. T.

AU - Tran, Q. T.

AU - Truong, B.

AU - Wan, L.

AU - Zou, C.

PY - 2017

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N2 - Partial similarity problems arise in numerous applications that involve real data acquisition by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this setting, the shapes to be retrieved may undergo a variety of transformations simultaneously, such as non-rigid deformations (changes in pose), topological noise, and missing parts - a combination of nuisance factors that renders the retrieval process extremely challenging. With this benchmark, we aim to evaluate the state of the art in deformable shape retrieval under such kind of transformations. The benchmark is organized in two sub-challenges exemplifying different data modalities (3D vs. 2.5D). A total of 15 retrieval algorithms were evaluated in the contest; this paper presents the details of the dataset, and shows thorough comparisons among all competing methods.

AB - Partial similarity problems arise in numerous applications that involve real data acquisition by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this setting, the shapes to be retrieved may undergo a variety of transformations simultaneously, such as non-rigid deformations (changes in pose), topological noise, and missing parts - a combination of nuisance factors that renders the retrieval process extremely challenging. With this benchmark, we aim to evaluate the state of the art in deformable shape retrieval under such kind of transformations. The benchmark is organized in two sub-challenges exemplifying different data modalities (3D vs. 2.5D). A total of 15 retrieval algorithms were evaluated in the contest; this paper presents the details of the dataset, and shows thorough comparisons among all competing methods.

UR - http://www.scopus.com/inward/record.url?scp=85048789650&partnerID=8YFLogxK

U2 - 10.2312/3dor.20171057

DO - 10.2312/3dor.20171057

M3 - منشور من مؤتمر

T3 - Eurographics Workshop on 3D Object Retrieval, EG 3DOR

SP - 85

EP - 94

BT - EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval

A2 - Ovsjanikov, Maks

A2 - Dupont, Florent

A2 - Pratikakis, Ioannis

PB - Eurographics Association

Y2 - 23 April 2017 through 24 April 2017

ER -

Rodolà E, Cosmo L, Litany O, Bronstein MM, Bronstein AM, Audebert N et al. SHREC'17: Deformable shape retrieval with missing parts. In Ovsjanikov M, Dupont F, Pratikakis I, editors, EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval. Eurographics Association. 2017. p. 85-94. (Eurographics Workshop on 3D Object Retrieval, EG 3DOR). doi: 10.2312/3dor.20171057

SHREC'17: Deformable shape retrieval with missing parts

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All Science Journal Classification (ASJC) codes

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