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CVPR
2012
IEEE
11 years 7 months ago
Globally optimal line clustering and vanishing point estimation in Manhattan world
The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotati...
Jean Charles Bazin, Yongduek Seo, Cédric De...
TVCG
2010
126views more  TVCG 2010»
13 years 3 months ago
World Lines
Jürgen Waser, Raphael Fuchs, Hrvoje Ribicic, ...
CVPR
2004
IEEE
14 years 7 months ago
Color Lines: Image Specific Color Representation
The problem of deciding whether two pixels in an image have the same real world color is a fundamental problem in computer vision. Many color spaces are used in different applicat...
Ido Omer, Michael Werman
CVPR
2012
IEEE
11 years 7 months ago
Robust camera self-calibration from monocular images of Manhattan worlds
We focus on the detection of orthogonal vanishing points using line segments extracted from a single view, and using these for camera self-calibration. Recent methods view this pr...
Horst Wildenauer, Allan Hanbury
ICCV
2011
IEEE
12 years 4 months ago
Optimal Estimation of Vanishing Points in a Manhattan World
In this paper, we present an analytical method for computing the globally optimal estimates of orthogonal vanishing points in a “Manhattan world” with a calibrated camera. We ...
Faraz Mirzaei, Stergios Roumeliotis