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. Rosin

A. Sharf, L. Sun, X. Sun, S. Tari, G. Unal, R. C. Wilson

Peking University
Seoul National University
Ain Shams University
Ben-Gurion University of the Negev
University of Yamanashi
University of Verona
Sabanci University
Beijing Technology and Business University
Duke University
University of York
Cardiff University
Universidade de São Paulo
Middle East Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

75 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval
Editörler	Michela Spagnuolo, Luc Van Gool, Ioannis Pratikakis, Theoharis Theoharis, Remco Veltkamp
Yayınlayan	Eurographics Association
Sayfalar	107-120
Sayfa sayısı	14
ISBN (Elektronik)	9783905674781
DOI'lar	https://doi.org/10.2312/3DOR.20151064
Yayın durumu	Yayınlandı - 2015
Harici olarak yayınlandı	Evet
Etkinlik	8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015 - Zurich, Switzerland Süre: 2 May 2015 → 3 May 2015

Yayın serisi

Adı	Eurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (Basılı)	1997-0463
ISSN (Elektronik)	1997-0471

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015
Ülke/Bölge	Switzerland
Şehir	Zurich
Periyot	2/05/15 → 3/05/15

Bibliyografik not

Publisher Copyright:
© The Eurographics Association 2015.

Finansman

This work was supported by National Natural Science Foundation of China (Grant No.: 61202230 and 61472015), National Hi-Tech Research and Development Program (863 Program) of China (Grant No.: 2014AA015102) and Beijing Natural Science Foundation (Grant No.: 4152022).

Finansörler	Finansör numarası
Japan Society for the Promotion of Science	26330133
National Natural Science Foundation of China	61202230, 61472015
Natural Science Foundation of Beijing Municipality	4152022
National Basic Research Program of China (973 Program)	2014AA015102

Belgeye Erişim

10.2312/3DOR.20151064

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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

@inproceedings{5568b9e7a2a24f47b8007c97c9657027,

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",

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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - SHREC'15 track

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

AU - Lian, Z.

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.

PY - 2015

Y1 - 2015

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.

UR - https://www.scopus.com/pages/publications/85016183704

U2 - 10.2312/3DOR.20151064

DO - 10.2312/3DOR.20151064

M3 - Conference contribution

AN - SCOPUS:85016183704

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

SP - 107

EP - 120

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

A2 - Spagnuolo, Michela

A2 - Van Gool, Luc

A2 - Pratikakis, Ioannis

A2 - Theoharis, Theoharis

A2 - Veltkamp, Remco

PB - Eurographics Association

Y2 - 2 May 2015 through 3 May 2015

ER -

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, editörler, 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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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