547 search results - page 5 / 110 » Spatiotemporal feature extraction based on invariance repres... |
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
ECCV
2010
Springer
14 years 29 days ago
2010
Springer
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
EVENT
2001
13 years 9 months ago
2001
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...