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» Moving Object Segmentation Based on Human Visual Sensitivity
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3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
13 years 11 months ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Eugene Borovikov, Larry S. Davis
ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
14 years 9 days ago
Human Posture Recognition with Convex Programming
We present a novel human posture recognition method using convex programming based matching schemes. Instead of trying to segment the object from the background, we develop a nove...
Hao Jiang, Ze-Nian Li, Mark S. Drew
ECCV
2000
Springer
14 years 8 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
MVA
1994
195views Computer Vision» more  MVA 1994»
13 years 8 months ago
A Fast Corner Detection Algorithm Based on Area Deviation
A new algorithm, based on area-deviation, is proposed for the detection of corner points of digitized curves. The algorithm consists of two steps. In the first step, a fixed-lengt...
Hao Zhou, Lejun Shao
ICIAP
2009
ACM
13 years 11 months ago
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy
This paper presents a framework for using high-level visual information to enhance the performance of automatic color constancy algorithms. The approach is based on recognizing spe...
Esa Rahtu, Jarno Nikkanen, Juho Kannala, Leena Lep...