TY - GEN
T1 - SHREC'18 track
T2 - 11th Eurographics Workshop on 3D Object Retrieval, 3DOR 2018
AU - Moscoso Thompson, E.
AU - Tortorici, C.
AU - Werghi, N.
AU - Berretti, S.
AU - Velasco-Forero, S.
AU - Biasotti, S.
N1 - Funding Information:
The work is developed within the research program of the “H2020” European project “GRAVITATE”, contract n. 665155, (2015-2018).
Publisher Copyright:
© 2018 The Eurographics Association.
PY - 2018
Y1 - 2018
N2 - This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposed in the contest challenges the possibility of retrieving surfaces with the same texture pattern of a given query model. This task, which can be seen as a simplified version of many real world applications, requires a characterization of the surfaces based on local features, rather then considering the surface size and/or bending. All runs submitted to this track are based on feature vectors. The retrieval performances of the runs submitted for evaluation reveal that texture pattern retrieval is a challenging issue. Indeed, a good balance between the size of the pattern and the dimension of the region around a vertex used to locally analyze the color evolution is crucial for pattern description.
AB - This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposed in the contest challenges the possibility of retrieving surfaces with the same texture pattern of a given query model. This task, which can be seen as a simplified version of many real world applications, requires a characterization of the surfaces based on local features, rather then considering the surface size and/or bending. All runs submitted to this track are based on feature vectors. The retrieval performances of the runs submitted for evaluation reveal that texture pattern retrieval is a challenging issue. Indeed, a good balance between the size of the pattern and the dimension of the region around a vertex used to locally analyze the color evolution is crucial for pattern description.
UR - http://www.scopus.com/inward/record.url?scp=85060645772&partnerID=8YFLogxK
U2 - 10.2312/3dor.20181054
DO - 10.2312/3dor.20181054
M3 - Conference contribution
AN - SCOPUS:85060645772
T3 - Eurographics Workshop on 3D Object Retrieval, EG 3DOR
SP - 63
EP - 69
BT - EG 3DOR 2018 - Eurographics Workshop on 3D Object Retrieval
Y2 - 16 April 2018
ER -