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» Navigating in Manhattan: 3D orientation from video without c...
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ICIP
2003
IEEE
14 years 8 months ago
Navigating in Manhattan: 3D orientation from video without correspondences
The problem of inferring 3D orientation of a camera from video sequences has been mostly addressed by first computing correspondences of image features. This intermediate step is ...
André F. T. Martins, Mário A. T. Fig...
CRV
2005
IEEE
204views Robotics» more  CRV 2005»
14 years 17 days ago
3D SSD Tracking with Estimated 3D Planes
We present a tracking method where full camera position and orientation is tracked from intensity differences in a video sequence. The camera pose is calculated based on 3D plane...
Dana Cobzas, Peter F. Sturm
ECCV
2006
Springer
14 years 8 months ago
Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality
One main challenge in Augmented Reality (AR) applications is to keep track of video objects with their movement, orientation, size, and position accurately. This poses a challengin...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
IJCV
2006
159views more  IJCV 2006»
13 years 7 months ago
Wide Baseline Matching between Unsynchronized Video Sequences
3D reconstruction of a dynamic scene from features in two cameras usually requires synchronization and correspondences between the cameras. These may be hard to achieve due to occl...
Lior Wolf, Assaf Zomet