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EMMCVPR
2001
Springer
15 years 11 months ago
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Abstract. Motion segmentation methods often fail to detect the motions of low textured regions. We develop an algorithm for segmentation of low textured moving objects. While usual...
Pedro M. Q. Aguiar, José M. F. Moura
MICCAI
2006
Springer
16 years 7 months ago
Toward Interactive User Guiding Vessel Axis Extraction from Gray-scale Angiograms: An Optimization Framework
We propose a novel trace-based method to extract vessel axes from gray-scale angiograms without preliminary segmentations. Our method traces the axes on an optimization framework w...
Wilbur C. K. Wong, Albert C. S. Chung
DAGM
2001
Springer
15 years 11 months ago
Placing Arbitrary Objects in a Real Scene Using a Color Cube for Pose Estimation
We describe an Augmented Reality system using the corners of a color cube for camera calibration. In the augmented image the cube is replaced by a computer generated virtual object...
Jochen Schmidt, Ingo Scholz, Heinrich Niemann
WACV
2005
IEEE
16 years 10 days ago
3D Recognition and Segmentation of Objects in Cluttered Scenes
In this paper we present a novel view point independent range image segmentation and recognition approach. We generate a library of 3D models off-line and represent each model wit...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
179
Voted
FGR
1996
IEEE
159views Biometrics» more  FGR 1996»
15 years 11 months ago
Adaptive Automatic Facial Feature Segmentation
Automatic facial feature detection is typically solved by usingmanually segmented imagestotrain a feature detector. In thispaper, we investigate whether it is possible toimprove t...
Hasan Demirel, Thomas J. Clarke, Peter Y. K. Cheun...