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» Methods for Feature Detection in Point Clouds
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BILDMED
2011
245views Algorithms» more  BILDMED 2011»
13 years 9 days ago
Clustering-Based Detection of Anatomical Features on Organic Shapes
Abstract. Robust and accurate automatic detection of anatomical features on organic shapes is a challenging task. Despite a rough similarity, each shape is unique. To cope with thi...
Konrad Sickel, Vojtech Bubnik
DMIN
2009
119views Data Mining» more  DMIN 2009»
13 years 6 months ago
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Jaakko Talonen, Miki Sirola
ICIP
2008
IEEE
14 years 3 months ago
Reliable interest point detection under large illumination variations
This appendix proves the illumination robustness of the proposed corner detector over the Harris corner detector. I. HARRIS CORNER DETECTOR The Harris corner detector [1] is based...
Murat Gevrekci, Bahadir K. Gunturk

Publication
256views
12 years 10 months ago
Facial Feature Detection Using Distance Vector Fields
A novel method for eye and mouth detection and eye center and mouth corner lo- calization, based on geometrical information is presented in this paper. First, a face detector is ...
Stylianos Asteriadis, Nikos Nikolaidis, Ioannis Pi...
CGF
2008
127views more  CGF 2008»
13 years 8 months ago
Fitting Sharp Features with Loop Subdivision Surfaces
Various methods have been proposed for fitting subdivision surfaces to different forms of shape data (e.g., dense meshes or point clouds), but none of these methods effectively de...
Ruotian Ling, Wenping Wang, Dong-Ming Yan