Sciweavers

6005 search results - page 24 / 1201
» Graph-Theoretical Methods in Computer Vision
Sort
View
CVPR
2012
IEEE
11 years 11 months ago
A data driven method for feature transformation
Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, u...
Mert Dikmen, Derek Hoiem, Thomas S. Huang
CVPR
2006
IEEE
14 years 10 months ago
On-line Boosting and Vision
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
Helmut Grabner, Horst Bischof
HUMO
2007
Springer
13 years 10 months ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger
IROS
2006
IEEE
208views Robotics» more  IROS 2006»
14 years 2 months ago
3D object recognition using spin-images for a humanoid stereoscopic vision system
— This paper presents a 3D object recognition method based on spin-images for a humanoid robot having a stereoscopic vision system. Spin-images have been proposed to search CAD m...
Olivier Stasse, Sylvain Dupitier, Kazuhito Yokoi
BMVC
2000
13 years 10 months ago
Estimating Vision Parameters given Data with Covariances
A new parameter estimation method is presented, applicable to many computer vision problems. It operates under the assumption that the data (typically image point locations) are a...
Wojciech Chojnacki, Michael J. Brooks, Anton van d...