Large-Scale 3D Shape Retrieval from ShapeNet Core55 (Unknown language)

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With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is becoming increasingly prevalent. Therefore, the need for shape retrieval algorithms to handle large-scale shape repositories is more and more important. This track provides a benchmark to evaluate large-scale 3D shape retrieval based on the ShapeNet dataset. It is a continuation of the SHREC 2016 large-scale shape retrieval challenge with a goal of measuring progress with recent developments in deep learning methods for shape retrieval. We use ShapeNet Core55, which provides more than 50 thousands models over 55 common categories in total for training and evaluating several algorithms. Eight participating teams have submitted a variety of retrieval methods which were evaluated on several standard information retrieval performance metrics. The approaches vary in terms of the 3D representation, using multi-view projections, point sets, volumetric grids, or traditional 3D shape descriptors. Overall performance on the shape retrieval task has improved significantly compared to the iteration of this competition in SHREC 2016. We release all data, results, and evaluation code for the benefit of the community and to catalyze future research into large-scale 3D shape retrieval (website: https://www.shapenet.org/shrec17).

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval
Sfikas, Konstantinos / Theoharis, Theoharis / Pratikakis, Ioannis | 2017
9
LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition
Zhi, Shuaifeng / Liu, Yongxiang / Li, Xiang / Guo, Yulan | 2017
17
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks
Boulch, Alexandre / Saux, Bertrand Le / Audebert, Nicolas | 2017
25
RGB-D to CAD Retrieval with ObjectNN Dataset
Hua, Binh-Son / Truong, Quang-Trung / Tran, Minh-Khoi / Pham, Quang-Hieu / Kanezaki, Asako / Lee, Tang / Chiang, HungYueh / Hsu, Winston / Li, Bo / Lu, Yijuan et al. | 2017
33
3D Hand Gesture Recognition Using a Depth and Skeletal Dataset
Smedt, Quentin De / Wannous, Hazem / Vandeborre, Jean-Philippe / Guerry, J. / Saux, B. Le / Filliat, D. | 2017
39
Large-Scale 3D Shape Retrieval from ShapeNet Core55
Savva, Manolis / Yu, Fisher / Su, Hao / Kanezaki, Asako / Furuya, Takahiko / Ohbuchi, Ryutarou / Zhou, Zhichao / Yu, Rui / Bai, Song / Bai, Xiang et al. | 2017
51
Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval
Craciun, Daniela / Levieux, Guillaume / Montes, Matthieu | 2017
55
Sketch-based 3D Object Retrieval with Skeleton Line Views - Initial Results and Research Problems
Zhao, Xueqing / Gregor, Robert / Mavridis, Pavlos / Schreck, Tobias | 2017
59
GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements
Mateo, Carlos M. / Gil, Pablo / Torres, Fernando | 2017
63
A Framework Based on Compressed Manifold Modes for Robust Local Spectral Analysis
Haas, Sylvain / Baskurt, Atilla / Dupont, Florent / Denis, Florence | 2017
67
Protein Shape Retrieval
Song, Na / Craciun, Daniela / Christoffer, Charles W. / Han, Xusi / Kihara, Daisuke / Levieux, Guillaume / Montes, Matthieu / Qin, Hong / Sahu, Pranjal / Terashi, Genki et al. | 2017
75
Point-Cloud Shape Retrieval of Non-Rigid Toys
Limberger, F. A. / Wilson, R. C. / Aono, M. / Audebert, N. / Boulch, A. / Bustos, B. / Giachetti, A. / Godil, A. / Saux, B. Le / Li, B. et al. | 2017
85
Deformable Shape Retrieval with Missing Parts
Rodolà, E. / Cosmo, L. / Litany, O. / Bronstein, M. M. / Bronstein, A. M. / Audebert, N. / Hamza, A. Ben / Boulch, A. / Castellani, U. / Do, M. N. et al. | 2017
95
Retrieval of Surfaces with Similar Relief Patterns
Biasotti, S. / Thompson, E. Moscoso / Aono, M. / Hamza, A. Ben / Bustos, B. / Dong, S. / Du, B. / Fehri, A. / Li, H. / Limberger, F. A. et al. | 2017
105
3D Mesh Unfolding via Semidefinite Programming
Liu, Juncheng / Lian, Zhouhui / Xiao, Jianguo | 2017
113
Directed Curvature Histograms for Robotic Grasping
Schulz, Rodrigo / Guerrero, Pablo / Bustos, Benjamin | 2017
121
Semantic Correspondence Across 3D Models for Example-based Modeling
Léon, Vincent / Itier, Vincent / Bonneel, Nicolas / Lavoué, Guillaume / Vandeborre, Jean-Philippe | 2017
129
Towards Recognizing of 3D Models Using A Single Image
Rashwan, Hatem A. / Chambon, Sylvie / Morin, Geraldine / Gurdjos, Pierre / Charvillat, Vincent | 2017
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