A Simple and Fast Technique for Camera Calibration using Spheres as Test Objects

Camera calibration using spheres: A semi-definite programming approach

Vision algorithms utilizing camera networks with a common field of view are becoming increasingly feasible and important. Calibration of such camera networks is a challenging and cumbersome task. The current approaches for calibration using planes or a known 3D target may not be feasible as these objects may not be simultaneously visible in all the cameras. In this paper, we present a new algor...

A Simple and Fast Method for Field Calibration of Triaxial Gyroscope by using Accelerometer

Nonparametric Correction of Distortion 1 Nonparametric Correction of Distortion 1

Previous work on camera calibration, and particularly work on self-calibration, has assumed that the camera is well modeled by an ideal, relatively simple, parametric model. Real camera systems, however, diverge signiicantly from a simple pinhole perspective imaging model. Therefore, parametric calibration models are typically extended to include parameters which model distortions from perspect...

Fast Stereo Triangulation using Symmetry

This paper proposes a method to use reflectional symmetry as a feature to rapidly triangulate the 3D location of objects using stereo vision. Our approach can triangulate objects under non-uniform lighting conditions. Objects that pose a problem to other stereo methods, such as reflective and transparent objects, as well as objects with rounded surfaces prone to incorrect stereo matching, can a...

Complete camera calibration using spheres : A dual-space approach

Camera calibration is a fundamental problem in computer vision and photogrammetry. We present a new algorithm to calibrate cameras using spheres. In general, an occluding contour of a sphere projects to an ellipse in the image. Our algorithm uses the projection of the occluding contours of three spheres and solves for the intrinsic parameters and the locations of the spheres. The problem is for...