31 search results - page 1 / 7 » Maximally Stable Local Description for Scale Selection |
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper presents a new method for detecting scale invariant interest points. The method is based on two recent results on scale space: 1) Interest points can be adapted to scal...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper introduces a novel colour-based affine covariant region detector. Our algorithm is an extension of the maximally stable extremal region (MSER) to colour. The extension ...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper presents a new structure-based interest region detector called Principal Curvature-Based Regions (PCBR) which we use for object class recognition. The PCBR interest ope...