74 search results - page 4 / 15 » A Markov Random Field Model for Extracting Near-Circular Sha... |
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
This paper presents a multi-scale generative model for representing animate shapes and extracting meaningful parts of objects. The model assumes that animate shapes (2D simple clo...
ACCV
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. In this paper we give a new model for foreground-background-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
JMLR
2010
13 years 3 months ago
2010
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...