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» Recursive Affine Structure and Motion from Image Sequences
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FGR
2004
IEEE
218views Biometrics» more  FGR 2004»
13 years 11 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
CVPR
1998
IEEE
14 years 9 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
ACIVS
2006
Springer
13 years 11 months ago
Affine Epipolar Direction from Two Views of a Planar Contour
Most approaches to camera motion estimation from image sequences require matching the projections of at least 4 non-coplanar points in the scene. The case of points lying on a plan...
Maria Alberich-Carramiñana, Guillem Aleny&a...
ICIP
1999
IEEE
14 years 9 months ago
A Fast Algorithm for Rigid Structure from Image Sequences
The factorization method [1] is a feature-based approach to recover 3D rigid structure from motion. In [2], we extended their framework to recover a parametric description of the ...
Pedro M. Q. Aguiar, José M. F. Moura
ICVGIP
2004
13 years 8 months ago
Probabilistic Measures for Motion Segmentation
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
Venu Madhav Govindu