PAMI
1998
13 years 7 months ago
1998
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
ACCV
2009
Springer
13 years 10 months ago
2009
Springer
Image feature detection is a fundamental issue in computer vision. SIFT[1] and SURF[2] are very effective in scale-space feature detection, but their stabilities are not good enou...
MICCAI
1998
Springer
13 years 11 months ago
1998
Springer
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
SCALESPACE
2001
Springer
13 years 12 months ago
2001
Springer
We define mutually consistent scale-space theories for scalar and vector images. Consistency pertains to the connection between the already established scalar theory and that for ...
SCALESPACE
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. A family of spatio-temporal scale-spaces suitable for a moving observer is developed. The scale-spaces are required to be time causal for being usable for real time measu...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...