Calibrating a network of cameras with non-overlapping views is an important and
challenging problem in computer vision. In this paper, we present a novel technique for …

Background In computer vision, there are multiple calibration problems. The most
fundamental one is the camera calibration, which determines the intrinsic and extrinsic …

In this paper, we describe a novel camera calibration method to estimate the extrinsic
parameters and the focal length of a camera by using only one single image of two coplanar …

We investigate the projective properties of the feature consisting of two concentric circles.
We demonstrate there exist geometric and algebraic constraints on its projection. We show …

This paper surveys zoom-lens calibration approaches, such as pattern-based calibration,
self-calibration, and hybrid (or semiautomatic) calibration. We describe the characteristics …

Camera calibration is a fundamental task in photogrammetry and computer vision. This
paper presents an approach for the automatic estimation of interior orientation from images …

We consider the problem of camera self-calibration from images of a planar object with
unknown Euclidean structure. The general case of possibly varying focal length is …

We present algorithms for plane-based calibration of general radially distorted cameras. By
this, we understand cameras that have a distortion center and an optical axis such that the …

Biometrics is everything that can be measured in a human being. It has two types;
behavioral and physiological. This paper discusses the use of keystroke dynamics, a form of …

Camera calibration accuracy is directly affected by the area and precision of targets. The low
precision of large targets reduces camera calibration accuracy, whereas small targets lead …