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» Image Segmentation - A Survey of Soft Computing Approaches
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ICRA
2010
IEEE
259views Robotics» more  ICRA 2010»
14 years 9 months ago
RANSAC matching: Simultaneous registration and segmentation
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample conse...
Shao-Wen Yang, Chieh-Chih Wang, Chun-Hua Chang
CRV
2006
IEEE
132views Robotics» more  CRV 2006»
15 years 3 months ago
Automatic Classification of Outdoor Images by Region Matching
This paper presents a novel method for image classification. It differs from previous approaches by computing image similarity based on region matching. Firstly, the images to be ...
Oliver van Kaick, Greg Mori
ECCV
2006
Springer
16 years 1 months ago
Learning and Incorporating Top-Down Cues in Image Segmentation
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
Xuming He, Richard S. Zemel, Debajyoti Ray
SIBGRAPI
2006
IEEE
15 years 5 months ago
Improving 2D mesh image segmentation with Markovian Random Fields
Traditional mesh segmentation methods normally operate on geometrical models with no image information. On the other hand, 2D image-based mesh generation and segmentation counterp...
Alex Jesus Cuadros-Vargas, Leandro C. Gerhardinger...
TMI
2002
147views more  TMI 2002»
14 years 11 months ago
Cortex Segmentation - A Fast Variational Geometric Approach
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...