This paper deals with a recently proposed non-parametric approach to camera calibration, which is ap-plicable to any type of sensor design. Currently, no relative quantitative performance data is available for this method. This paper addresses this issue, by providing a comprehen-sive evaluation with respect to the standard planar calibra-tion technique in the literature. Experiments are conducted on simulated and real data, with the firm conclusion that the generic calibration method has the capability to outperform the standard parametric approach for imaging systems with significant distortion. The results provide important practi-cal information for the vision community at large.
International audienceA generic imaging model refers to a non-parametric camera model where every ca...
AbstractÐWe propose a flexible new technique to easily calibrate a camera. It only requires the came...
Camera calibration has always been an essential component of photogrammetric measurement, with self-...
This paper deals with a recently proposed nonparametric approach to camera calibration, which is app...
This paper deals with a recently proposed nonparametric\ud approach to camera calibration, which is ...
This paper deals with a recently proposed nonparametric approach to camera calibration, which is ap...
Generic camera calibration is a non-parametric calibration technique that is applicable to any type ...
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 ...
International audienceWe consider the problem of calibrating a highly generic imaging model, that co...
We propose a flexible new technique to easily calibrate a camera. It only requires the camera to obs...
Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly use...
We consider the problem of calibrating a highly generic imaging model, that consists of a non-parame...
Generic camera calibration is a method to characterize vision sensors by describing a line of sight ...
In computer vision, camera calibration is a procedure that tries to know how a camera projects a 3D ...
International audienceA generic imaging model refers to a non-parametric camera model where every ca...
AbstractÐWe propose a flexible new technique to easily calibrate a camera. It only requires the came...
Camera calibration has always been an essential component of photogrammetric measurement, with self-...
This paper deals with a recently proposed nonparametric approach to camera calibration, which is app...
This paper deals with a recently proposed nonparametric\ud approach to camera calibration, which is ...
This paper deals with a recently proposed nonparametric approach to camera calibration, which is ap...
Generic camera calibration is a non-parametric calibration technique that is applicable to any type ...
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 ...
International audienceWe consider the problem of calibrating a highly generic imaging model, that co...
We propose a flexible new technique to easily calibrate a camera. It only requires the camera to obs...
Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly use...
We consider the problem of calibrating a highly generic imaging model, that consists of a non-parame...
Generic camera calibration is a method to characterize vision sensors by describing a line of sight ...
In computer vision, camera calibration is a procedure that tries to know how a camera projects a 3D ...
International audienceA generic imaging model refers to a non-parametric camera model where every ca...
AbstractÐWe propose a flexible new technique to easily calibrate a camera. It only requires the came...
Camera calibration has always been an essential component of photogrammetric measurement, with self-...