1427 search results - page 81 / 286 » Markov Random Field Modeling in Computer Vision |
ECCV
2002
Springer
14 years 11 months ago
2002
Springer
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
AVSS
2006
IEEE
14 years 3 months ago
2006
IEEE
This paper presents a novel method for illuminationinvariant and contrast preserving feature extraction, aimed at improving performance of tracking under complex light condition. ...
NIPS
2004
13 years 10 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
ACCV
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques re...
CVPR
2007
IEEE
14 years 11 months 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...