Due to the low precision, the consumer-grade depth sensor is often calibrated jointly with a color camera, and the joint calibration sometimes presents undesired interactions. In this paper, we propose a novel method to carry out the high-accuracy intrinsic calibration of depth sensors merely by the depth camera, in which the traditional calibration rig, checker-board pattern, is replaced with ...

Depth cameras are increasingly used for tasks such as 3-D reconstruction, user pose estimation, and humancomputer interaction. Depth-camera systems comprising multiple depth sensors require careful calibration. In addition to conventional 2-D camera calibration, depth correction for each individual device is necessary. In this paper, we present a new way of solving the multi depth-camera calibr...

There have been relatively little works to shed light on the effects of errors in the intrinsic parameters on motion estimation and scene reconstruction. Given that the estimation of the extrinsic and intrinsic parameters apts to be imprecise, it is important to study the resulting distortion on the recovered structure. By making use of the iso-distortion framework, we explicitly characterize t...

In this paper we propose a quick and easy approach to estimate the undistortion function of RGBD sensors. Our method does not rely on the knowledge of the sensor model, on the use of a specific calibration pattern or on external SLAM systems to track the device position. We compute a nonparametric approximation of the undistortion function by applying regression methods to calibration data that...

OF THESIS Per-Pixel Calibration for RGB-Depth Natural 3D Reconstruction on GPU Ever since the Kinect brought low-cost depth cameras into consumer market, great interest has been invigorated into Red-Green-Blue-Depth (RGBD) sensors. Without calibration, a RGBD camera’s horizontal and vertical field of view (FoV) could help generate 3D reconstruction in camera space naturally on graphics processi...

Time-of-flight (ToF) cameras are becoming more and more popular in computer vision. In many applications 3D information delivered by a ToF camera is used, and it is very important to know the camera’s extrinsic and intrinsic parameters, as well as precise depth information. A straightforward algorithm to calibrate a ToF camera is to use a standard color camera calibration procedure [12], on the...

Vicarious calibration data screening method based on the measured atmospheric optical depth and the variance of the measured surface reflectance at the test sites is proposed. Reliability of the various calibration data has to be improved. In order to improve the reliability of the vicarious calibration data, some screenings have to be made. Through experimental study, it is found that vicariou...

In this paper we present a new calibration approach for focused plenoptic cameras. We derive a new mathematical projection model of a focused plenoptic camera which considers lateral as well as depth distortion. Therefore, we derive a new depth distortion model directly from the theory of depth estimation in a focused plenoptic camera. In total the model consists of five intrinsic parameters, t...