46 search results - page 4 / 10 » N-Sift: N-Dimensional Scale Invariant Feature Transform for ... |
BCS
2008
13 years 7 months ago
2008
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
ECCV
2002
Springer
14 years 8 months ago
2002
Springer
This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such...
SCIA
2009
Springer
13 years 10 months ago
2009
Springer
Features from the Scale Invariant Feature Transformation (SIFT) are widely used for matching between spatially or temporally displaced images. Recently a topology on the SIFT featu...
BMCV
2000
Springer
13 years 10 months ago
2000
Springer
First IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000). There is considerable evidence that object recognition in primates is based o...
ECCV
2008
Springer
13 years 8 months ago
2008
Springer
Extraction and matching of discriminative feature points in images is an important problem in computer vision with applications in image classification, object recognition, mosaici...