Generic camera calibration is a method to characterize vision sensors by describing a line of sight for every single pixel. This procedure frees the calibration process from the restriction to pinhole-like optics that arises in the common photogrammetric camera models. Generic camera calibration also enables the calibration of high-frequency distortions, which is beneficial for high-precision measurement systems. The calibration process is as follows: To collect sufficient data for calculating a line of sight for each pixel, active grids are used as calibration reference rather than static markers such as corners of chessboard patterns. A common implementation of active grids are sinusoidal fringes presented on a flat TFT display. So far, t...
Camera calibration plays a fundamental role for 3D computer vision since it is the first step to rec...
Traditionally, most camera calibrations rely on a planar target with well-known marks. However, the ...
Camera calibration is an important problem in 3D computer vision. The problem of determining the cam...
Generic camera calibration is a method to characterize vision sensors by describing a line of sight ...
Generic camera calibration is a non-parametric calibration technique that is applicable to any type ...
This paper deals with a recently proposed nonparametric approach to camera calibration, which is ap...
This paper deals with a recently proposed nonparametric\ud approach to camera calibration, which is ...
International audienceWe present a theory and algorithms for a generic calibration concept that is b...
We present a theory and algorithms for a generic calibration concept that is based on the following ...
This paper deals with a recently proposed non-parametric approach to camera calibration, which is ap...
Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly use...
This paper deals with a recently proposed nonparametric approach to camera calibration, which is app...
Modern digital cameras with sophisticated optics enable accurate shape measurements via a plethora o...
We consider the problem of calibrating a highly generic imaging model, that consists of a non-parame...
International audienceA generic imaging model refers to a non-parametric camera model where every ca...
Camera calibration plays a fundamental role for 3D computer vision since it is the first step to rec...
Traditionally, most camera calibrations rely on a planar target with well-known marks. However, the ...
Camera calibration is an important problem in 3D computer vision. The problem of determining the cam...
Generic camera calibration is a method to characterize vision sensors by describing a line of sight ...
Generic camera calibration is a non-parametric calibration technique that is applicable to any type ...
This paper deals with a recently proposed nonparametric approach to camera calibration, which is ap...
This paper deals with a recently proposed nonparametric\ud approach to camera calibration, which is ...
International audienceWe present a theory and algorithms for a generic calibration concept that is b...
We present a theory and algorithms for a generic calibration concept that is based on the following ...
This paper deals with a recently proposed non-parametric approach to camera calibration, which is ap...
Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly use...
This paper deals with a recently proposed nonparametric approach to camera calibration, which is app...
Modern digital cameras with sophisticated optics enable accurate shape measurements via a plethora o...
We consider the problem of calibrating a highly generic imaging model, that consists of a non-parame...
International audienceA generic imaging model refers to a non-parametric camera model where every ca...
Camera calibration plays a fundamental role for 3D computer vision since it is the first step to rec...
Traditionally, most camera calibrations rely on a planar target with well-known marks. However, the ...
Camera calibration is an important problem in 3D computer vision. The problem of determining the cam...