We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
The proposed approach is motivated by applications which allow user navigation and individual viewpoint specification in shared virtual environments with telepresence quality. In ...
Eddie Cooke, Oliver Schreer, Bernhard Pasewaldt, P...
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
In the multiview video plus depth (MVD) representation for 3D video, a depth map sequence is coded for each view. In the decoding end, a view synthesis algorithm is used to genera...
Ying Chen, Weixing Wan, Miska M. Hannuksela, Jun Z...
In this paper, we introduce a method to estimate the object's pose from multiple video cameras. We derive a centralized solution to pose estimation from multiple video camera...