SHREC'15 track: Non-rigid 3D shape retrieval

Z. Lian; J. Zhang; S. Choi; H. ElNaghy; J. El-Sana; T. Furuya; A. Giachetti; R. A. Guler; L. Lai; C. Li; H. Li; F. A. Limberger; R. Martin; R. U. Nakanishi; A. P. Neto; L. G. Nonato; R. Ohbuchi; K. Pevzner; D. Pickup; P. Rosin; A. Sharf; L. Sun; X. Sun; S. Tari; G. Unal; R. C. Wilson

doi:10.2312/3DOR.20151064

SHREC'15 track: Non-rigid 3D shape retrieval

Z. Lian, J. Zhang, S. Choi, H. ElNaghy, J. El-Sana, T. Furuya, A. Giachetti, R. A. Guler, L. Lai, C. Li, H. Li, F. A. Limberger, R. Martin, R. U. Nakanishi, A. P. Neto, L. G. Nonato, R. Ohbuchi, K. Pevzner, D. Pickup, P. RosinA. Sharf, L. Sun, X. Sun, S. Tari, G. Unal, R. C. Wilson

Department of Computer Science

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

69 Scopus citations

Abstract

Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the SHREC'15 Track: Non-rigid 3D Shape Retrieval. The aim of this track is to provide a fair and effective platform to evaluate and compare the performance of current non-rigid 3D shape retrieval methods developed by different research groups around the world. The database utilized in this track consists of 1200 3D watertight triangle meshes which are equally classified into 50 categories. All models in the same category are generated from an original 3D mesh by implementing various pose transformations. The retrieval performance of a method is evaluated using 6 commonly-used measures (i.e., PR-plot, NN, FT, ST, E-measure and DCG.). Totally, there are 37 submissions and 11 groups taking part in this track. Evaluation results and comparison analyses described in this paper not only show the bright future in researches of non-rigid 3D shape retrieval but also point out several promising research directions in this topic.

Original language	English
Title of host publication	EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval
Editors	Michela Spagnuolo, Luc Van Gool, Ioannis Pratikakis, Theoharis Theoharis, Remco Veltkamp
Publisher	Eurographics Association
Pages	107-120
Number of pages	14
ISBN (Electronic)	9783905674781
DOIs	https://doi.org/10.2312/3DOR.20151064
State	Published - 1 Jan 2015
Event	8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015 - Zurich, Switzerland Duration: 2 May 2015 → 3 May 2015

Publication series

Name	Eurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (Print)	1997-0463
ISSN (Electronic)	1997-0471

Conference

Conference	8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015
Country/Territory	Switzerland
City	Zurich
Period	2/05/15 → 3/05/15

ASJC Scopus subject areas

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

Access to Document

10.2312/3DOR.20151064

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Lian, Z., Zhang, J., Choi, S., ElNaghy, H., El-Sana, J., Furuya, T., Giachetti, A., Guler, R. A., Lai, L., Li, C., Li, H., Limberger, F. A., Martin, R., Nakanishi, R. U., Neto, A. P., Nonato, L. G., Ohbuchi, R., Pevzner, K., Pickup, D., ... Wilson, R. C. (2015). SHREC'15 track: Non-rigid 3D shape retrieval. In M. Spagnuolo, L. Van Gool, I. Pratikakis, T. Theoharis, & R. Veltkamp (Eds.), EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval (pp. 107-120). (Eurographics Workshop on 3D Object Retrieval, EG 3DOR). Eurographics Association. https://doi.org/10.2312/3DOR.20151064

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title = "SHREC'15 track: Non-rigid 3D shape retrieval",

abstract = "Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the SHREC'15 Track: Non-rigid 3D Shape Retrieval. The aim of this track is to provide a fair and effective platform to evaluate and compare the performance of current non-rigid 3D shape retrieval methods developed by different research groups around the world. The database utilized in this track consists of 1200 3D watertight triangle meshes which are equally classified into 50 categories. All models in the same category are generated from an original 3D mesh by implementing various pose transformations. The retrieval performance of a method is evaluated using 6 commonly-used measures (i.e., PR-plot, NN, FT, ST, E-measure and DCG.). Totally, there are 37 submissions and 11 groups taking part in this track. Evaluation results and comparison analyses described in this paper not only show the bright future in researches of non-rigid 3D shape retrieval but also point out several promising research directions in this topic.",

author = "Z. Lian and J. Zhang and S. Choi and H. ElNaghy and J. El-Sana and T. Furuya and A. Giachetti and Guler, {R. A.} and L. Lai and C. Li and H. Li and Limberger, {F. A.} and R. Martin and Nakanishi, {R. U.} and Neto, {A. P.} and Nonato, {L. G.} and R. Ohbuchi and K. Pevzner and D. Pickup and P. Rosin and A. Sharf and L. Sun and X. Sun and S. Tari and G. Unal and Wilson, {R. C.}",

note = "Publisher Copyright: {\textcopyright} The Eurographics Association 2015.; 8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015 ; Conference date: 02-05-2015 Through 03-05-2015",

year = "2015",

month = jan,

day = "1",

doi = "10.2312/3DOR.20151064",

language = "English",

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

publisher = "Eurographics Association",

pages = "107--120",

editor = "Michela Spagnuolo and {Van Gool}, Luc and Ioannis Pratikakis and Theoharis Theoharis and Remco Veltkamp",

booktitle = "EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval",

}

Lian, Z, Zhang, J, Choi, S, ElNaghy, H, El-Sana, J, Furuya, T, Giachetti, A, Guler, RA, Lai, L, Li, C, Li, H, Limberger, FA, Martin, R, Nakanishi, RU, Neto, AP, Nonato, LG, Ohbuchi, R, Pevzner, K, Pickup, D, Rosin, P, Sharf, A, Sun, L, Sun, X, Tari, S, Unal, G & Wilson, RC 2015, SHREC'15 track: Non-rigid 3D shape retrieval. in M Spagnuolo, L Van Gool, I Pratikakis, T Theoharis & R Veltkamp (eds), EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval. Eurographics Workshop on 3D Object Retrieval, EG 3DOR, Eurographics Association, pp. 107-120, 8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015, Zurich, Switzerland, 2/05/15. https://doi.org/10.2312/3DOR.20151064

SHREC'15 track: Non-rigid 3D shape retrieval. / Lian, Z.; Zhang, J.; Choi, S. et al.
EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval. ed. / Michela Spagnuolo; Luc Van Gool; Ioannis Pratikakis; Theoharis Theoharis; Remco Veltkamp. Eurographics Association, 2015. p. 107-120 (Eurographics Workshop on 3D Object Retrieval, EG 3DOR).

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

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T2 - 8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015

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AU - Zhang, J.

AU - Choi, S.

AU - ElNaghy, H.

AU - El-Sana, J.

AU - Furuya, T.

AU - Giachetti, A.

AU - Guler, R. A.

AU - Lai, L.

AU - Li, C.

AU - Li, H.

AU - Limberger, F. A.

AU - Martin, R.

AU - Nakanishi, R. U.

AU - Neto, A. P.

AU - Nonato, L. G.

AU - Ohbuchi, R.

AU - Pevzner, K.

AU - Pickup, D.

AU - Rosin, P.

AU - Sharf, A.

AU - Sun, L.

AU - Sun, X.

AU - Tari, S.

AU - Unal, G.

AU - Wilson, R. C.

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N2 - Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the SHREC'15 Track: Non-rigid 3D Shape Retrieval. The aim of this track is to provide a fair and effective platform to evaluate and compare the performance of current non-rigid 3D shape retrieval methods developed by different research groups around the world. The database utilized in this track consists of 1200 3D watertight triangle meshes which are equally classified into 50 categories. All models in the same category are generated from an original 3D mesh by implementing various pose transformations. The retrieval performance of a method is evaluated using 6 commonly-used measures (i.e., PR-plot, NN, FT, ST, E-measure and DCG.). Totally, there are 37 submissions and 11 groups taking part in this track. Evaluation results and comparison analyses described in this paper not only show the bright future in researches of non-rigid 3D shape retrieval but also point out several promising research directions in this topic.

AB - Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the SHREC'15 Track: Non-rigid 3D Shape Retrieval. The aim of this track is to provide a fair and effective platform to evaluate and compare the performance of current non-rigid 3D shape retrieval methods developed by different research groups around the world. The database utilized in this track consists of 1200 3D watertight triangle meshes which are equally classified into 50 categories. All models in the same category are generated from an original 3D mesh by implementing various pose transformations. The retrieval performance of a method is evaluated using 6 commonly-used measures (i.e., PR-plot, NN, FT, ST, E-measure and DCG.). Totally, there are 37 submissions and 11 groups taking part in this track. Evaluation results and comparison analyses described in this paper not only show the bright future in researches of non-rigid 3D shape retrieval but also point out several promising research directions in this topic.

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EP - 120

BT - EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval

A2 - Spagnuolo, Michela

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Lian Z, Zhang J, Choi S, ElNaghy H, El-Sana J, Furuya T et al. SHREC'15 track: Non-rigid 3D shape retrieval. In Spagnuolo M, Van Gool L, Pratikakis I, Theoharis T, Veltkamp R, editors, EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval. Eurographics Association. 2015. p. 107-120. (Eurographics Workshop on 3D Object Retrieval, EG 3DOR). doi: 10.2312/3DOR.20151064

SHREC'15 track: Non-rigid 3D shape retrieval

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