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» Deriving Intrinsic Images from Image Sequences
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TSP
2008
178views more  TSP 2008»
15 years 6 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen
CVPR
2004
IEEE
16 years 8 months ago
Error Analysis for a Navigation Algorithm Based on Optical-Flow and a Digital Terrain Map
This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevatio...
Ehud Rivlin, Héctor Rotstein, Ronen Lerner
NIPS
2001
15 years 8 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
ICCV
2011
IEEE
14 years 6 months ago
3D Scene Flow Estimation with a Rigid Motion Prior
We present an approach to 3D scene flow estimation, which exploits that in realistic scenarios image motion is frequently dominated by observer motion and independent, but rigid ...
Christoph Vogel, Stefan Roth, Konrad Schindler
ICIP
2005
IEEE
16 years 8 months ago
A probabilistic model for robust face alignment in videos
A new approach for localizing facial structure in videos is proposed in this paper by modeling shape alignment dynamically. The approach makes use of the spatial-temporal continuit...
Wei Zhang, Yi Zhou, Xiaoou Tang, Junhui Deng