We present an algorithm that simultaneously calibrates a color camera, a depth camera, and the relative pose between them. The method is designed to have three key features that no other available algorithm currently has: accurate, practical, applicable to a wide range of sensors. The method requires only a planar surface to be imaged from various poses. The calibration does not use color or de...

In this paper we outline a system to search and classify objects in an unknown environment. As a rst step towards this goal a dense depth map of the complete object surface is computed by use of a stereo approach adapted to monocular color image sequences. The resulting depth data of the stereo algorithm are input of the judgement, registration and fusion step described in this paper. After jud...

a new method for determination of residual stresses in the bottom layers of laminated composites is developed. in this method the residual stresses are determined by performing a consecutive drilling of laminated composites in the center of the rosette and recording the strains after drilling each layer. the depth of the hole in each step is equal to the thickness of each layer and the maximum ...

We compare two approaches to the problem of estimating the depth of a point in space from observing its image position in two different cameras: 1. The classical photogrammetric approach explicitly models the two cameras and estimates their intrinsic and extrinsic parameters using a tedious calibration procedure; 2. A generic machine learning approach where the mapping from image to spatial coo...

In this paper, we present a method to calibrate and enhance depth information captured by an infrared (IR)-based time-of-flight video-plus-depth camera called “Kinect camera”. For depth data calibration, we use color and IR images of a chessboard with on-off halogen light sources to calculate camera parameters of the video and IR sensors in the Kinect camera. For depth data enhancement, we intr...

This paper describes and implements an attempt to solve the problem of determining depth from defocus when given a focal stack (set of photos taken at different focuses) created from photos captured with a hand-held camera with unknown calibration. Although the photos may initially suffer from significant parallax due to camera/hand movement during capture, the image alignment steps explained i...

We present in this paper a new analysis of relative sensitivity/importance of calibra-tion/alignment parameters on the performance of stereoscopic depth reconstruction. This quantitative analysis provides formulae which relate diierent parameter errors to the 3D reconstruction measurements. The results of this analysis provide specii-cations of acceptable tolerances in individual calibration pa...

This contribution gives an overview of automatic 3D scene reconstruction and visualisation from uncalibrated and handheld camera image sequences. We address specifically the problems that are associated with calibration and visual-geometric reconstruction of complex scenes with occlusions and view-dependent surfaces. The scene is then represented by large sets of calibrated real viewpoints with...