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» Contour Detection and Hierarchical Image Segmentation
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ICPR
2006
IEEE
14 years 8 months ago
Generic Detection of Multi-Part Objects
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, ...
Jean-Francois Bernier, Robert Bergevin
FIMH
2005
Springer
14 years 28 days ago
Long-Axis Cardiac MRI Contour Detection with Adaptive Virtual Exploring Robot
Abstract. This paper describes a method for automatic contour detection in long-axis cardiac MRI using an adaptive virtual exploring robot. The robot is a simulated trained virtual...
Mark Blok, Mikhail G. Danilouchkine, Cor J. Veenma...
ICCV
2005
IEEE
14 years 1 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
MICCAI
2006
Springer
14 years 8 months ago
Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy
In this paper, we present a learning-based method for the detection and segmentation of 3D free-form tubular structures, such as the rectal tubes in CT colonoscopy. This method can...
Adrian Barbu, Luca Bogoni, Dorin Comaniciu
MICCAI
2003
Springer
14 years 8 months ago
Hierarchical Segmentation of Thin Structures in Volumetric Medical Images
We introduce a new method for segmentation of 3D medical data based on geometric variational principles. A minimal variance criterion is coupled with a geometric edge alignment mea...
Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel