TY - GEN
T1 - SHREC'17 track
T2 - 10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017
AU - Song, Na
AU - Craciun, Daniela
AU - Christoffer, Charles W.
AU - Han, Xusi
AU - Kihara, Daisuke
AU - Levieux, Guillaume
AU - Montes, Matthieu
AU - Qin, Hong
AU - Sahu, Pranjal
AU - Terashi, Genki
AU - Liu, Haiguang
N1 - Publisher Copyright:
© 2017 The Eurographics Association.
PY - 2017
Y1 - 2017
N2 - The large number of protein structures deposited in the protein database provide an opportunity to examine the structure relations using computational algorithms, which can be used to classify the structures based on shape similarity. In this paper, we report the result of the SHREC 2017 track on shape retrievals from protein database. The goal of this track is to test the performance of the algorithms proposed by participants for the retrieval of bioshape (proteins). The test set is composed of 5,854 abstracted shapes from actual protein structures after removing model redundancy. Ten query shapes were selected from a set of representative molecules that have important biological functions. Six methods from four teams were evaluated and the performance is summarized in this report, in which both the retrieval accuracy and computational speed were compared. The biological relevance of the shape retrieval approaches is discussed. We also discussed the future perspectives of shape retrieval for biological molecular models.
AB - The large number of protein structures deposited in the protein database provide an opportunity to examine the structure relations using computational algorithms, which can be used to classify the structures based on shape similarity. In this paper, we report the result of the SHREC 2017 track on shape retrievals from protein database. The goal of this track is to test the performance of the algorithms proposed by participants for the retrieval of bioshape (proteins). The test set is composed of 5,854 abstracted shapes from actual protein structures after removing model redundancy. Ten query shapes were selected from a set of representative molecules that have important biological functions. Six methods from four teams were evaluated and the performance is summarized in this report, in which both the retrieval accuracy and computational speed were compared. The biological relevance of the shape retrieval approaches is discussed. We also discussed the future perspectives of shape retrieval for biological molecular models.
UR - https://www.scopus.com/pages/publications/85063051498
U2 - 10.2312/3dor.20171055
DO - 10.2312/3dor.20171055
M3 - Conference contribution
AN - SCOPUS:85063051498
T3 - Eurographics Workshop on 3D Object Retrieval, EG 3DOR
SP - 67
EP - 74
BT - EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval
A2 - Dupont, Florent
A2 - Pratikakis, Ioannis
A2 - Ovsjanikov, Maks
PB - Eurographics Association
Y2 - 23 April 2017 through 24 April 2017
ER -