Six papers accepted at 3DVision 2017

3DV is a rapidly growing conference focusing on all aspects of 3D vision and 3D processing.

3DV provides “a premier platform for disseminating research results covering a broad variety of topics in the area of 3D research in computer vision and graphics, from novel optical sensors, signal processing, geometric modeling, representation and transmission, to visualization and interaction, and a variety of applications”.

Our following papers has been accepted and will be presented at the conference in Qingdao from October 10th-12th 2017:

Paper  # 1: Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image by Jameel Malik, Ahmed Elhayek, and Didier Stricker.

Paper  # 2: Fast and Efficient Depth Map Estimation from Light Fields by Yuriy Anisimov and Didier Stricker.

Paper  # 3: Learning Quadrangulated Patches for 3D Shape Parameterization and Completion by Kripasindhu Sarkar, Kiran Varanasi, and Didier Stricker.

Paper  # 4: Scalable Dense Monocular Surface Reconstruction by Mohammad Dawud Ansari, Vladislav Golyanik, and Didier Stricker.

Paper  # 5: High Dimensional Space Model for Dense Monocular Surface Recovery by Vladislav Golyanik and Didier Stricker.

Paper  # 6: Multiframe Scene Flow with Piecewise Rigid Motion by Vladislav Golyanik, Kihwan Kim, Robert Maier, Matthias Nießner, Didier Stricker, and Jan Kautz.


The papers will be shortly available on our webpage.