48 search results - page 2 / 10 » 3D augmented Markov random field for object recognition |
ICRA
2009
IEEE
13 years 3 months ago
2009
IEEE
This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
ECCV
2010
Springer
13 years 6 months ago
2010
Springer
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Previous pixel-level change detection methods either contain a background updating step that is costly for moving cameras (background subtraction) or can not locate object positio...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
TFS
2008
2008
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
13 years 5 months ago
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...