Calibration for high-definition camera rigs with marker chessboard

Abstract

The geometrical calibration of a high-definition camera rig is an important step for 3D film making and computer vision applications. Due to the large amount of image data in high-definition, maintaining execution speeds appropriate for on-set, on-line adjustment procedures is one of the biggest challenges for machine vision based calibration methods. Our aims are to provide a low-cost, fast and accurate system to calibrate both the intrinsic and extrinsic parameters of a stereo camera rig. We first propose a novel calibration target that we call marker chessboard to speed up the corner detection. Then we develop an automatic key frame selection algorithm to optimize frames used in calibration. We also propose a bundle adjustment method to overcome the geometrical inaccuracy of the chessboard. Finally we introduce an online stereo camera calibration system based on the above improvements.

An Efficient Calibration Method for a Stereo Camera System with Heterogeneous Lenses Using an Embedded Checkerboard Pattern

“…On the other hand, planar projection (or homography) based approaches have also been studied to estimate relative pose in a stereo camera rig. Chen et al proposed a calibration method for a high definition stereo camera rig by utilizing the idea of homography transformation [12] using a marker chessboard. In year 2013, they discussed another slightly improved image undistortion and pose estimation method in their technical paper [13].…”

“…The method introduced by Lim et al imposes the constraints on the distribution of feature points. The planar homography method introduced by Chen et al in their first research article [12] sometimes failed to detect chessboard corners properly. They proposed a solution for this problem in their second research article [13] by introducing the concept of a robust type homography transformation in which they primarily focused on processing mono video cameras instead of focusing on stereo systems.…”

Repeatable Extrinsic Stereo Camera Calibration by Moving Chessboard in a Straight-line

“…Hence, by using the images taken in a straight line covering same region of camera sensor it is observed that extrinsic results are repeatable. For intrinsic parameters the images covering whole surface area of camera sensor are good enough for estimating them [2, 9,18,19].…”

Charuco Board-Based Omnidirectional Camera Calibration Method

“…In addition to computer graphics, capturing a real scene with a camera and transferring it to a VR space has become imperative to providing VR content. Moreover, to further increase the user's degree of freedom (DoF) and immersion in the VR space, various omnidirectional cameras, such as a dioptric camera [1], catadioptric camera [2][3][4][5], and polydioptric camera [6][7][8][9], have been proposed. In this paper, we deal with the polydioptric camera such as Facebook Surround 360 [10], Google Jump [11], Richo Theta [12], and Samsung Gear 360 [13].…”