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» Background estimation from non-time sequence images
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ICIP
2006
IEEE
16 years 7 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
ICIP
1997
IEEE
16 years 7 months ago
Model-Based Estimation of Facial Expression Parameters from Image Sequences
In this paper we present a model-based algorithm for the estimation of 3D motion and the analysis of facial expressions of a speaking person. A set of facial animation parameters ...
Peter Eisert, Bernd Girod
FGR
2004
IEEE
218views Biometrics» more  FGR 2004»
15 years 9 months ago
Affine Correspondence Based Head Pose Estimation for a Sequence of Images by Using a 3D Model
This paper proposes a method of determining human head poses from a sequence of images. The main idea is to use some features in a 3D head model to generate a virtual fronto-paral...
Guoyuan Liang, Hongbin Zha, Hong Liu
PR
2007
216views more  PR 2007»
15 years 5 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee
CVPR
1997
IEEE
15 years 10 months ago
Physically based fluid flow recovery from image sequences
This paper presents an approach to measuring fluid flow from image sequences. The approach centers around a motion recovery algorithm that is based on principles from fluid mechan...
Richard P. Wildes, Michael J. Amabile, Ann-Marie L...