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» Recovering Non-Rigid 3D Shape from Image Streams
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CVPR
2005
IEEE
14 years 10 months ago
Indexing with Unknown Illumination and Pose
The task of identifying 3D objects in 2D images is difficult due to variation in objects' appearance with changes in pose and lighting. The task is further complicated by the...
Ira Kemelmacher, Ronen Basri
IVC
2007
187views more  IVC 2007»
13 years 7 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
CVPR
2008
IEEE
14 years 10 months ago
Efficient object shape recovery via slicing planes
Recovering the three-dimensional (3D) object shape lies as an unresolved and active research topic on the crosssection of computer vision, photogrammetry and bioinformatics. Altho...
Po-Lun Lai, Alper Yilmaz
ECCV
2004
Springer
14 years 9 months ago
Structure and Motion from Images of Smooth Textureless Objects
This paper addresses the problem of estimating the 3D shape of a smooth textureless solid from multiple images acquired under orthographic projection from unknown and unconstrained...
Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J...
PCM
2005
Springer
209views Multimedia» more  PCM 2005»
14 years 1 months ago
Virtual Object Placement in Video for Augmented Reality
This article describes a method to insert virtual objects into a real video stream based on feature tracking and camera pose estimation from a set of single-camera video frames. To...
Jong Seung Park, Mee Young Sung, Sung-Ryul Noh