Sciweavers

75 search results - page 1 / 15
» Learning Probabilistic Models for Contour Completion in Natu...
Sort
View
IJCV
2008
106views more  IJCV 2008»
13 years 4 months ago
Learning Probabilistic Models for Contour Completion in Natural Images
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
ECCV
2002
Springer
14 years 6 months ago
A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
We derive a probabilistic multi-scale model for contour completion based on image statistics. The boundaries of human segmented images are used as "ground truth". A prob...
Xiaofeng Ren, Jitendra Malik
CVBIA
2005
Springer
13 years 10 months ago
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICIP
2002
IEEE
14 years 6 months ago
Parametric contour tracking using unscented Kalman filter
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
Yunqiang Chen, Thomas S. Huang, Yong Rui
ICANN
2009
Springer
13 years 11 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen