Sketch-based 3D Object Retrieval with Skeleton Line Views - Initial Results and Research Problems (Unknown language)

How to get this document?

Download
Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

Hand-drawn sketches are a convenient way to define 3D object retrieval queries. Numerous methods have been proposed for sketch-based 3D object retrieval. Such methods employ a non-photo-realistic rendering step to create sketch-like views from 3D objects for comparison with the sketch queries. An implicit assumption here often is that the sketch query resembles a perspective view of the 3D shape. However, based on personal inclination or the type of object, users often tend to draw skeleton views instead of a perspective one. In those cases, a retrieval relying on perspective views is not the best choice, as features extracted from skeleton-based sketches and perspective can be expected to diverge vastly. In this paper, we report on our ongoing work to implement sketch-based 3D object retrieval for skeleton query sketches. Furthermore, we provide an initial benchmark data set consisting of skeleton sketches for a selection of generic object classes. Then, we design a sketch-based retrieval processing pipeline involving a sketch rendering step using Laplacian contraction. Additional experimental results indicate that skeleton sketches can be automatically distinguished from perspective sketches, and that the proposed method works for selected object classes. We also identify object classes for which the rendering of skeleton views is difficult, motivating further research.

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
Feedback