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» Application of Level Set Methods in Computer Vision
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ICPR
2002
IEEE
15 years 12 months ago
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
David Cuesta-Frau, Juan Carlos Pérez-Cortes...
VMV
2008
129views Visualization» more  VMV 2008»
15 years 8 months ago
Shape Median Based on Symmetric Area Differences
Median averaging is a powerful averaging concept on sets of vector data in finite dimensions. A generalization of the median for shapes in the plane is introduced. The underlying ...
Benjamin Berkels, Gina Linkmann, Martin Rumpf
ICPR
2000
IEEE
15 years 11 months ago
Blackboard Segmentation Using Video Image of Lecture and Its Applications
We propose a method for segmentation of written regions on a blackboard in the lecture room using a video image. We firstly detect static edges of which locations on the image ar...
Masaki Onishi, Masao Izumi, Kunio Fukunaga
CVPR
2009
IEEE
17 years 1 months ago
A Collaborative Benchmark for Region of Interest Detection Algorithms
This paper presents a collaborative benchmark for region of interest (ROI) detection in images. ROI detection has many useful applications and many algorithms have been proposed...
Tz-Huan Huang, Kai-Yin Cheng and Yung-Yu Chuang
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...