748 search results - page 51 / 150 » Learning Feature Distance Measures for Image Correspondences |
DGCI
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
PSIVT
2007
Springer
14 years 3 months ago
2007
Springer
: Measuring ellipticity is an important area of computer vision systems. Most existing ellipticity measures are area based and cannot be easily applied to point sets such as extrac...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
ACCV
2006
Springer
14 years 3 months ago
2006
Springer
In this paper we present a simple but effective method for matching two uncalibrated images. Feature points are firstly extracted in each image using a fast multiscale corner det...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...