477 search results - page 10 / 96 » Modeling Image Textures by Gibbs Random Fields |
106
Voted
CVPR
1998
IEEE
16 years 6 days ago
1998
IEEE
Image texture can arise not only from surface albedo variations (2D texture) but also from surface height variations (3D texture). Since the appearance of 3D texture depends on th...
168
Voted
BMEI
2009
IEEE
14 years 11 months ago
2009
IEEE
84
Voted
CVPR
2007
IEEE
16 years 6 days ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
105
Voted
WSCG
2004
14 years 11 months ago
2004
In this paper we describe a new method for improving the representation of textures in blends of multiple images based on a Markov Random Field (MRF) algorithm. We show that direc...
CVPR
2007
IEEE
16 years 6 days ago
2007
IEEE
Image-based object modeling has emerged as an important computer vision application. Typically, the process starts with the acquisition of the image views of an object. These view...