170 search results - page 20 / 34 » Scale-Hierarchical 3D Object Recognition in Cluttered Scenes |
NIPS
2004
13 years 9 months ago
2004
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
ICPR
2000
IEEE
13 years 11 months ago
2000
IEEE
In this paper, we describe a new design of a recognition system for a single image of indoor scene including complex occlusions. In our system, rst, the system estimates 3D struc...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. An important task in object recognition is to enable algorithms to categorize objects under arbitrary poses in a cluttered 3D world. A recent paper by Savarese & Fei-...