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ICCV
2001
IEEE
14 years 9 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
IBPRIA
2005
Springer
14 years 27 days ago
From Moving Edges to Moving Regions
In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motio...
Loic Biancardini, Eva Dokladalova, Serge Beucher, ...
MVA
2007
203views Computer Vision» more  MVA 2007»
13 years 8 months ago
Automatic Detection of Anatomical Structures in Digital Fundus Retinal Images
This paper proposes a novel system for the automatic detection of important anatomical structures such as the Optic Disc (OD), Blood Vessels and Macula in digital fundus retinal i...
Anantha Vidya Sagar, S. Balasubramanian, V. Chandr...
PCM
2005
Springer
117views Multimedia» more  PCM 2005»
14 years 26 days ago
A Robust Text Segmentation Approach in Complex Background Based on Multiple Constraints
In this paper we propose a robust text segmentation method in complex background. The proposed method first utilizes the K-means algorithm to decompose a detected text block into ...
Libo Fu, Weiqiang Wang, Yaowen Zhan
CVPR
2010
IEEE
14 years 3 months ago
Object Detection via Boundary Structure Segmentation
We address the problem of object detection and segmentation using holistic properties of object shape. Global shape representations are highly susceptible to clutter inevitably pr...
Alexander Toshev, Ben Taskar, Kostas Daniilidis