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ICCV
2009
IEEE
16 years 11 months ago
Level Set Segmentation with Both Shape and Intensity Priors
We present a new variational level-set-based segmentation formulation that uses both shape and intensity prior information learned from a training set. By applying Bayes’ rule...
Siqi Chen and Richard J. Radke
SIAMIS
2010
395views more  SIAMIS 2010»
15 years 4 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...
CVPR
2010
IEEE
16 years 2 months ago
A Steiner Tree approach to efficient object detection
We propose an approach to speeding up object detection, with an emphasis on settings where multiple object classes are being detected. Our method uses a segmentation algorithm to ...
Olga Russakovsky, Quoc Le, Andrew Ng
ICASSP
2011
IEEE
14 years 10 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
ICPR
2000
IEEE
16 years 7 months ago
Using Temporal Integration for Tracking Regions in Traffic Monitoring Sequences
This paper1 describes a method for tracking regions in image sequences. Regions segmented from each frame by a motion segmentation technique are matched by using a relaxation proc...
Filiberto Pla, Jorge Badenas, José M. Sanch...