Abstract:- In this article, we are interested in the camera self-calibration from three views of a 3-D scene. The originality of our method resides in the new technique used to estimate the homography of the plane at infinity by the minimization of a non-linear cost function that is based on a particular motion of the camera "translation and small rotation". Our approach also permits to calculate the camera parameters and the depths of interest points detected in the images. Experimental results demonstrate the performance of our algorithms, in term of precision and convergence. Keywords:- Self-calibration, interest points, matching, homography of the plane at infinity.
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
Self-calibration for imaging sensors is essential to many computer vision applications. In this pape...
We will present the basic theory for the camera geometry. Our goal is camera calibration and the too...
We present a method for self-calibration of a camera which is free to rotate and change its intrinsi...
A new practical method is given for the self-calibration of a camera. In this method, at least three...
International audienceWe consider the problem of camera self-calibration from images of a planar obj...
This paper deals with first the uniqueness of the selfcalibration of a rotating and zooming camera t...
Self-calibration for imaging sensors is essential to many computer vision applications. In this pape...
This paper proposes a novel method for robustly recovering the camera geometry of an uncal-ibrated i...
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
In this paper, a new active vision based camera self-calibration technique is proposed. The novelty ...
International audienceWe introduce the concept of self-calibration of a 1D projective camera from po...
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
Abstract- English It is an important requirement for many computer vision applications that the imag...
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
Self-calibration for imaging sensors is essential to many computer vision applications. In this pape...
We will present the basic theory for the camera geometry. Our goal is camera calibration and the too...
We present a method for self-calibration of a camera which is free to rotate and change its intrinsi...
A new practical method is given for the self-calibration of a camera. In this method, at least three...
International audienceWe consider the problem of camera self-calibration from images of a planar obj...
This paper deals with first the uniqueness of the selfcalibration of a rotating and zooming camera t...
Self-calibration for imaging sensors is essential to many computer vision applications. In this pape...
This paper proposes a novel method for robustly recovering the camera geometry of an uncal-ibrated i...
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
In this paper, a new active vision based camera self-calibration technique is proposed. The novelty ...
International audienceWe introduce the concept of self-calibration of a 1D projective camera from po...
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
Abstract- English It is an important requirement for many computer vision applications that the imag...
In this paper we present a unified approach for calibration and self-calibration of multi-camera sys...
Self-calibration for imaging sensors is essential to many computer vision applications. In this pape...
We will present the basic theory for the camera geometry. Our goal is camera calibration and the too...