3DOR 17

Eurographics DL Repository

3DOR 17


Lyon, France | April, 23 - 24, 2017

Paper Session I
Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval
Konstantinos Sfikas, Theoharis Theoharis, and Ioannis Pratikakis
LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition
Shuaifeng Zhi, Yongxiang Liu, Xiang Li, and Yulan Guo
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks
Alexandre Boulch, Bertrand Le Saux, and Nicolas Audebert
SHREC Session I
RGB-D to CAD Retrieval with ObjectNN Dataset
Binh-Son Hua, Quang-Trung Truong, Minh-Khoi Tran, Quang-Hieu Pham, Asako Kanezaki, Tang Lee, HungYueh Chiang, Winston Hsu, Bo Li, Yijuan Lu, Henry Johan, Shoki Tashiro, Masaki Aono, Minh-Triet Tran, Viet-Khoi Pham, Hai-Dang Nguyen, Vinh-Tiep Nguyen, Quang-Thang Tran, Thuyen V. Phan, Bao Truong, Minh N. Do, Anh-Duc Duong, Lap-Fai Yu, Duc Thanh Nguyen, and Sai-Kit Yeung
3D Hand Gesture Recognition Using a Depth and Skeletal Dataset
Quentin De Smedt, Hazem Wannous, Jean-Philippe Vandeborre, J. Guerry, B. Le Saux, and D. Filliat
Large-Scale 3D Shape Retrieval from ShapeNet Core55
Manolis Savva, Fisher Yu, Hao Su, Asako Kanezaki, Takahiko Furuya, Ryutarou Ohbuchi, Zhichao Zhou, Rui Yu, Song Bai, Xiang Bai, Masaki Aono, Atsushi Tatsuma, S. Thermos, A. Axenopoulos, G. Th. Papadopoulos, P. Daras, Xiao Deng, Zhouhui Lian, Bo Li, Henry Johan, Yijuan Lu, and Sanjeev Mk
Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval
Daniela Craciun, Guillaume Levieux, and Matthieu Montes
Sketch-based 3D Object Retrieval with Skeleton Line Views - Initial Results and Research Problems
Xueqing Zhao, Robert Gregor, Pavlos Mavridis, and Tobias Schreck
GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements
Carlos M. Mateo, Pablo Gil, and Fernando Torres
A Framework Based on Compressed Manifold Modes for Robust Local Spectral Analysis
Sylvain Haas, Atilla Baskurt, Florent Dupont, and Florence Denis
SHREC Session II
Protein Shape Retrieval
Na Song, Daniela Craciun, Charles W. Christoffer, Xusi Han, Daisuke Kihara, Guillaume Levieux, Matthieu Montes, Hong Qin, Pranjal Sahu, Genki Terashi, and Haiguang Liu
Point-Cloud Shape Retrieval of Non-Rigid Toys
F. A. Limberger, R. C. Wilson, M. Aono, N. Audebert, A. Boulch, B. Bustos, A. Giachetti, A. Godil, B. Le Saux, B. Li, Y. Lu, H.-D. Nguyen, V.-T. Nguyen, V.-K. Pham, I. Sipiran, A. Tatsuma, M.-T. Tran, and S. Velasco-Forero
Deformable Shape Retrieval with Missing Parts
E. Rodolà, L. Cosmo, O. Litany, M. M. Bronstein, A. M. Bronstein, N. Audebert, A. Ben Hamza, A. Boulch, U. Castellani, M. N. Do, A-D. Duong, T. Furuya, A. Gasparetto, Y. Hong, J. Kim, B. Le Saux, R. Litman, M. Masoumi, G. Minello, H-D. Nguyen, V-T. Nguyen, R. Ohbuchi, V-K. Pham, T. V. Phan, M. Rezaei, A. Torsello, M-T. Tran, Q-T. Tran, B. Truong, L. Wan, and C. Zou
Retrieval of Surfaces with Similar Relief Patterns
S. Biasotti, E. Moscoso Thompson, M. Aono, A. Ben Hamza, B. Bustos, S. Dong, B. Du, A. Fehri, H. Li, F. A. Limberger, M. Masoumi, M. Rezaei, I. Sipiran, L. Sun, A. Tatsuma, S. Velasco Forero, R. C. Wilson, Y. Wu, J. Zhang, T. Zhao, F. Fornasa, and A. Giachetti
Paper Session II
3D Mesh Unfolding via Semidefinite Programming
Juncheng Liu, Zhouhui Lian, and Jianguo Xiao
Directed Curvature Histograms for Robotic Grasping
Rodrigo Schulz, Pablo Guerrero, and Benjamin Bustos
Semantic Correspondence Across 3D Models for Example-based Modeling
Vincent Léon, Vincent Itier, Nicolas Bonneel, Guillaume Lavoué, and Jean-Philippe Vandeborre
Towards Recognizing of 3D Models Using A Single Image
Hatem A. Rashwan, Sylvie Chambon, Geraldine Morin, Pierre Gurdjos, and Vincent Charvillat

Recent Submissions

  • Schulz, Rodrigo; Guerrero, Pablo; Bustos, Benjamin (The Eurographics Association, 2017)
    Three-dimensional descriptors are a common tool nowadays, used in a wide range of tasks. Most of the descriptors that have been proposed in the literature focus on tasks such as object recognition and identification. This ...
  • Léon, Vincent; Itier, Vincent; Bonneel, Nicolas; Lavoué, Guillaume; Vandeborre, Jean-Philippe (The Eurographics Association, 2017)
    Modeling 3D shapes is a specialized skill not affordable to most novice artists due to its complexity and tediousness. At the same time, databases of complex models ready for use are becoming widespread, and can help the ...
  • Rashwan, Hatem A.; Chambon, Sylvie; Morin, Geraldine; Gurdjos, Pierre; Charvillat, Vincent (The Eurographics Association, 2017)
    As 3D data is getting more popular, techniques for retrieving a particular 3D model are necessary. We want to recognize a 3D model from a single photograph; as any user can easily get an image of a model he/she would like ...
  • Biasotti, S.; Thompson, E. Moscoso; Aono, M.; Hamza, A. Ben; Bustos, B.; Dong, S.; Du, B.; Fehri, A.; Li, H.; Limberger, F. A.; Masoumi, M.; Rezaei, M.; Sipiran, I.; Sun, L.; Tatsuma, A.; Forero, S. Velasco; Wilson, R. C.; Wu, Y.; Zhang, J.; Zhao, T.; Fornasa, F.; Giachetti, A. (The Eurographics Association, 2017)
    This paper presents the results of the SHREC'17 contest on retrieval of surfaces with similar relief patterns. The proposed task was created in order to verify the possibility of retrieving surface patches with a relief ...
  • Liu, Juncheng; Lian, Zhouhui; Xiao, Jianguo (The Eurographics Association, 2017)
    Mesh unfolding is a powerful pre-processing tool for many tasks such as non-rigid shape matching and retrieval. Shapes with articulated parts may exist large variants in pose, which brings difficulties to those tasks. With ...
  • Rodolà, E.; Cosmo, L.; Litany, O.; Bronstein, M. M.; Bronstein, A. M.; Audebert, N.; Hamza, A. Ben; Boulch, A.; Castellani, U.; Do, M. N.; Duong, A.-D.; Furuya, T.; Gasparetto, A.; Hong, Y.; Kim, J.; Saux, B. Le; Litman, R.; Masoumi, M.; Minello, G.; Nguyen, H.-D.; Nguyen, V.-T.; Ohbuchi, R.; Pham, V.-K.; Phan, T. V.; Rezaei, M.; Torsello, A.; Tran, M.-T.; Tran, Q.-T.; Truong, B.; Wan, L.; Zou, C. (The Eurographics Association, 2017)
    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 ...
  • Limberger, F. A.; Wilson, R. C.; Aono, M.; Audebert, N.; Boulch, A.; Bustos, B.; Giachetti, A.; Godil, A.; Saux, B. Le; Li, B.; Lu, Y.; Nguyen, H.-D.; Nguyen, V.-T.; Pham, V.-K.; Sipiran, I.; Tatsuma, A.; Tran, M.-T.; Velasco-Forero, S. (The Eurographics Association, 2017)
    In this paper, we present the results of the SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. The aim of this track is to create a fair benchmark to evaluate the performance of methods on the non-rigid ...
  • Song, Na; Craciun, Daniela; Christoffer, Charles W.; Han, Xusi; Kihara, Daisuke; Levieux, Guillaume; Montes, Matthieu; Qin, Hong; Sahu, Pranjal; Terashi, Genki; Liu, Haiguang (The Eurographics Association, 2017)
    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 ...
  • Haas, Sylvain; Baskurt, Atilla; Dupont, Florent; Denis, Florence (The Eurographics Association, 2017)
    Compressed Manifold Modes (CMM) were recently introduced as a solution to one of the drawbacks of spectral analysis on triangular meshes. The eigenfunctions of the Laplace-Beltrami operator on a mesh depend on the whole ...
  • Zhao, Xueqing; Gregor, Robert; Mavridis, Pavlos; Schreck, Tobias (The Eurographics Association, 2017)
    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 ...
  • Mateo, Carlos M.; Gil, Pablo; Torres, Fernando (The Eurographics Association, 2017)
    This paper presents a new 3D global feature descriptor for object recognition using shape representation on organized point clouds. Object recognition applications usually require significant speed and memory. The proposed ...
  • Smedt, Quentin De; Wannous, Hazem; Vandeborre, Jean-Philippe; Guerry, J.; Saux, B. Le; Filliat, D. (The Eurographics Association, 2017)
    Hand gesture recognition is recently becoming one of the most attractive field of research in pattern recognition. The objective of this track is to evaluate the performance of recent recognition approaches using a challenging ...
  • Craciun, Daniela; Levieux, Guillaume; Montes, Matthieu (The Eurographics Association, 2017)
    Shape similarity computation is the main functionality for shape matching and shape retrieval systems. Existing shape similarity frameworks proceed by parameterizing shapes through the use of global and/or local representations ...
  • Savva, Manolis; Yu, Fisher; Su, Hao; Kanezaki, Asako; Furuya, Takahiko; Ohbuchi, Ryutarou; Zhou, Zhichao; Yu, Rui; Bai, Song; Bai, Xiang; Aono, Masaki; Tatsuma, Atsushi; Thermos, S.; Axenopoulos, A.; Papadopoulos, G. Th.; Daras, P.; Deng, Xiao; Lian, Zhouhui; Li, Bo; Johan, Henry; Lu, Yijuan; Mk, Sanjeev (The Eurographics Association, 2017)
    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 ...
  • Zhi, Shuaifeng; Liu, Yongxiang; Li, Xiang; Guo, Yulan (The Eurographics Association, 2017)
    With the rapid growth of 3D data, accurate and efficient 3D object recognition becomes a major problem. Machine learning methods have achieved the state-of-the-art performance in the area, especially for deep convolutional ...
  • Hua, Binh-Son; Truong, Quang-Trung; Tran, Minh-Khoi; Pham, Quang-Hieu; Kanezaki, Asako; Lee, Tang; Chiang, HungYueh; Hsu, Winston; Li, Bo; Lu, Yijuan; Johan, Henry; Tashiro, Shoki; Aono, Masaki; Tran, Minh-Triet; Pham, Viet-Khoi; Nguyen, Hai-Dang; Nguyen, Vinh-Tiep; Tran, Quang-Thang; Phan, Thuyen V.; Truong, Bao; Do, Minh N.; Duong, Anh-Duc; Yu, Lap-Fai; Nguyen, Duc Thanh; Yeung, Sai-Kit (The Eurographics Association, 2017)
    The goal of this track is to study and evaluate the performance of 3D object retrieval algorithms using RGB-D data. This is inspired from the practical need to pair an object acquired from a consumer-grade depth camera to ...
  • Boulch, Alexandre; Saux, Bertrand Le; Audebert, Nicolas (The Eurographics Association, 2017)
    In this work, we describe a new, general, and efficient method for unstructured point cloud labeling. As the question of efficiently using deep Convolutional Neural Networks (CNNs) on 3D data is still a pending issue, we ...
  • Sfikas, Konstantinos; Theoharis, Theoharis; Pratikakis, Ioannis (The Eurographics Association, 2017)
    A novel 3D model classification and retrieval method, based on the PANORAMA representation and Convolutional Neural Networks, is presented. Initially, the 3D models are pose normalized using the SYMPAN method and consecutively ...
  • Pratikakis, Ioannis; Dupont, Florent; Ovsjanikov, Maks (Eurographics Association, 2017)