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» Active Shape Model Segmentation with Optimal Features
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CVPR
2005
IEEE
14 years 9 months ago
Shape Regularized Active Contour Using Iterative Global Search and Local Optimization
Recently, nonlinear shape models have been shown to improve the robustness and flexibility of segmentation. In this paper, we propose Shape Regularized Active Contour (ShRAC) that...
Tianli Yu, Jiebo Luo, Narendra Ahuja
PRL
2006
117views more  PRL 2006»
13 years 7 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
IPMI
2005
Springer
14 years 8 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
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...
ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization
In this paper we propose a genetic and greedy algorithm combination for the optimization of the Topological Active Nets (TAN) model. This is a deformable model used for image segme...
José Santos, Óscar Ibáñ...