748 search results - page 7 / 150 » Learning Feature Distance Measures for Image Correspondences |
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Determining the correspondence of image patches is one of the most important problems in Computer Vision. When the intensity space is variant due to several factors such as the ca...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— We propose a vision-based inertial system that overcomes the problems associated with slow update rates in navigation systems based on high-resolution cameras. Due to bandwidth...
MICCAI
2004
Springer
14 years 8 months ago
2004
Springer
Abstract. In this work, we present a method for the integration of feature and intensity information for non rigid registration. Our method is based on a free-form deformation mode...
MM
2010
ACM
13 years 8 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...