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» Unsupervised detection of contours using a statistical model
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CVPR
2010
IEEE
15 years 5 months ago
The Cluttered Background Problem for Active Contours: A Minimum-Latency Solution
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embedd...
Stefano Soatto, Ganesh Sundaramoorthi, Anthony Yez...
57
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PAMI
2000
105views more  PAMI 2000»
14 years 9 months ago
An Adaptive-Focus Deformable Model Using Statistical and Geometric Information
Dinggang Shen, Christos Davatzikos
ICIP
2007
IEEE
15 years 11 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
ECCV
2002
Springer
15 years 11 months ago
A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
We derive a probabilistic multi-scale model for contour completion based on image statistics. The boundaries of human segmented images are used as "ground truth". A prob...
Xiaofeng Ren, Jitendra Malik
ICARCV
2006
IEEE
187views Robotics» more  ICARCV 2006»
15 years 3 months ago
Image Segmentation Methods for Detecting Blood Vessels in Angiography
— Computer-assisted detection and segmentation of blood vessels in angiography are crucial for endovascular treatments and embolization. In this article, I give an overview of th...
Albert C. S. Chung