Browsing 3DOR 17 by Subject "I.3.5 [Computer Graphics]"

Now showing items 1-5 of 5

    • 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. (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 ...

    • 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.; 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 ...

    • Directed Curvature Histograms for Robotic Grasping 

      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 ...

    • LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition 

      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 ...

    • Semantic Correspondence Across 3D Models for Example-based Modeling 

      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 ...