104 search results - page 14 / 21 » Saliency of Interest Points under Scale Changes |
MICCAI
2005
Springer
14 years 8 months ago
2005
Springer
Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to locate morphological changes. In this paper, we present the a nov...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
CVIU
2010
13 years 7 months ago
2010
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
ICIAR
2010
Springer
14 years 8 days ago
2010
Springer
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...