Sciweavers

PAMI
2007
155views more  PAMI 2007»
13 years 11 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
WSCG
2003
327views more  WSCG 2003»
14 years 24 days ago
Image Recoloring Induced by Palette Color Associations
In this paper we present a non-interactive method for recoloring a destination image according to the color scheme found in a source image. The approach is motivated by trying to ...
G. R. Greenfield, D. H. House
ICPR
2002
IEEE
14 years 4 months ago
Robust Color Segmentation for the RoboCup Domain
Color segmentation is crucial in robotic applications, such as RoboCup, where the relevant objects can be distinguished by their color. In these applications, real-time performanc...
Zbigniew Wasik, Alessandro Saffiotti
ICMCS
2005
IEEE
179views Multimedia» more  ICMCS 2005»
14 years 5 months ago
Estimation of Speaking Speed for Faster Face Detection in Video-Footage
We previously reported a face detection system based on color segmentation using HSV. It was shown that the color is more effective than other colors not only in accurate segmenta...
Osamu Ikeda
ROBOCUP
2007
Springer
89views Robotics» more  ROBOCUP 2007»
14 years 5 months ago
Region-Based Segmentation with Ambiguous Color Classes and 2-D Motion Compensation
This paper presents a new approach for color segmentation, in which colors are not only mapped to unambiguous but also to ambiguous color classes. The ambiguous color classes are r...
Thomas Röfer
CVPR
2001
IEEE
15 years 1 months ago
Object Based Segmentation of Video Using Color, Motion and Spatial Information
Video segmentation is different from segmentation of a single image. While several correct solutions may exist for segmenting a single image, there needs to be a consistency among...
Sohaib Khan, Mubarak Shah
CVPR
1999
IEEE
15 years 1 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...