42 search results - page 1 / 9 » Object localization using texture motifs and Markov random f... |
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multip...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
ICPR
2008
IEEE
14 years 6 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...
TIP
1998
13 years 4 months ago
1998
Abstract— Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesising and capturing the characteristics of a wide variety of textures, f...
CAIP
2001
Springer
13 years 9 months ago
2001
Springer
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...