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» Incremental Vehicle 3-D Modeling from Video
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NIPS
2007
13 years 11 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
PAMI
2010
161views more  PAMI 2010»
13 years 8 months ago
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
Samarjit Das, Namrata Vaswani
CVIU
2011
13 years 1 months ago
Markerless reconstruction and synthesis of dynamic facial expressions
In this paper we combine methods from the field of computer vision with surface editing techniques to generate animated faces, which are all in full correspondence to each other....
Dominik Sibbing, Martin Habbecke, Leif Kobbelt
ECCV
2006
Springer
14 years 1 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen
ISMAR
2009
IEEE
14 years 4 months ago
Dynamic seethroughs: Synthesizing hidden views of moving objects
This paper presents a method to create an illusion of seeing moving objects through occluding surfaces in a video. This illusion is achieved by transferring information from a cam...
Peter Barnum, Yaser Sheikh, Ankur Datta, Takeo Kan...