6 search results - page 1 / 2 » Semantic Segmentation of Urban Scenes Using Dense Depth Maps |
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
2008
IEEE
14 years 6 months ago
2008
IEEE
We present an over-segmentation based, dense stereo algorithm that jointly estimates segmentation and depth. For mixed pixels on segment boundaries, the algorithm computes foregro...
CVPR
2000
IEEE
14 years 6 months ago
2000
IEEE
This paper deals with the automated creation of geometric and photometric correct 3-D models of the world. Those models can be used for virtual reality, tele? presence, digital ci...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearanc...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
We present a system for fast model-based segmentation and 3D pose
estimation of specular objects using appearance based specular
features. We use observed (a) specular reflection...