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FGR
2004
IEEE
114views Biometrics» more  FGR 2004»
13 years 11 months ago
Combining Motion Segmentation with Tracking for Activity Analysis
We explore a novel motion feature as the appropriate basis for classifying or describing a number of fine motor human activities.Ourapproach not only estimates motion directions a...
Jiang Gao, Alexander G. Hauptmann, Howard D. Wactl...
ICIP
2003
IEEE
14 years 9 months ago
Smoothing B-spline active contour for fast and robust image and video segmentation
This paper deals with fast image and video segmentation using active contours. Region based active contours using level-sets are powerful techniques for video segmentation but the...
Frédéric Precioso, Michel Barlaud, T...
SIAMIS
2010
395views more  SIAMIS 2010»
13 years 6 months ago
A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior
Abstract. In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge o...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
ECCV
2008
Springer
14 years 9 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...