Imperial College London

ProfessorMichaelBronstein

Faculty of EngineeringDepartment of Computing

Chair in Machine Learning and Pattern Recognition
 
 
 
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Contact

 

m.bronstein Website

 
 
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Location

 

569Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Rodolà:2017:10.2312/3dor.20171057,
author = {Rodolà, E and Cosmo, L and Litany, O and Bronstein, MM and Bronstein, AM and Audebert, N and Ben, Hamza A and Boulch, A and Castellani, U and Do, MN and Duong, AD and Furuya, T and Gasparetto, A and Hong, Y and Kim, J and Le, Saux B and Litman, R and Masoumi, M and Minello, G and Nguyen, HD and Nguyen, VT and Ohbuchi, R and Pham, VK and Phan, TV and Rezaei, M and Torsello, A and Tran, MT and Tran, QT and Truong, B and Wan, L and Zou, C},
doi = {10.2312/3dor.20171057},
pages = {85--94},
title = {SHREC'17: Deformable shape retrieval with missing parts},
url = {http://dx.doi.org/10.2312/3dor.20171057},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - © 2017 The Eurographics Association. 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.
AU - Rodolà,E
AU - Cosmo,L
AU - Litany,O
AU - Bronstein,MM
AU - Bronstein,AM
AU - Audebert,N
AU - Ben,Hamza A
AU - Boulch,A
AU - Castellani,U
AU - Do,MN
AU - Duong,AD
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,HD
AU - Nguyen,VT
AU - Ohbuchi,R
AU - Pham,VK
AU - Phan,TV
AU - Rezaei,M
AU - Torsello,A
AU - Tran,MT
AU - Tran,QT
AU - Truong,B
AU - Wan,L
AU - Zou,C
DO - 10.2312/3dor.20171057
EP - 94
PY - 2017///
SN - 1997-0463
SP - 85
TI - SHREC'17: Deformable shape retrieval with missing parts
UR - http://dx.doi.org/10.2312/3dor.20171057
ER -