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» Learning to Estimate Scenes from Images
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CVPR
2008
IEEE
14 years 9 months ago
IM2GPS: estimating geographic information from a single image
Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-...
James Hays, Alexei A. Efros
DAGM
2006
Springer
13 years 11 months ago
Realtime Depth Estimation and Obstacle Detection from Monocular Video
Abstract. This paper deals with the detection of arbitrary static objects in traffic scenes from monocular video using structure from motion. A camera in a moving vehicle observes ...
Andreas Wedel, Uwe Franke, Jens Klappstein, Thomas...
CVPR
2012
IEEE
11 years 10 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
DAGM
2004
Springer
14 years 1 months ago
A Semantic Typicality Measure for Natural Scene Categorization
We propose an approach to categorize real-world natural scenes based on a semantic typicality measure. The proposed typicality measure allows to grade the similarity of an image wi...
Julia Vogel, Bernt Schiele
ECCV
2002
Springer
14 years 9 months ago
All the Images of an Outdoor Scene
The appearance of an outdoor scene depends on a variety of factors such as viewing geometry, scene structure and reflectance (BRDF or BTF), illumination (sun, moon, stars, street l...
Srinivasa G. Narasimhan, Chi Wang, Shree K. Nayar