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» Bayesian Object Detection through Level Curves Selection
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SCALESPACE
2001
Springer
13 years 9 months ago
Bayesian Object Detection through Level Curves Selection
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
Charles Kervrann
CVPR
2005
IEEE
13 years 6 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
CRV
2006
IEEE
114views Robotics» more  CRV 2006»
13 years 10 months ago
Generic Detection of Multi-Part Objects by High-Level Analysis
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then,...
Jean-Francois Bernier, Robert Bergevin
PR
2008
97views more  PR 2008»
13 years 4 months ago
A vision-based method for weeds identification through the Bayesian decision theory
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
ICIP
2000
IEEE
14 years 6 months ago
Perceptible Level Lines and Isoperimetric Ratio
This paper introduces a simple criterion to select the most important level lines from the numerous set obtained with a topographic map. A topographic map gives a morphological an...
Jacques Froment