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Journal ArticleDOI

Digital camera self-calibration

TLDR
This paper reviews the application of analytical self-calibration to digital cameras and an overview is given of each of the four main sources of departures from collinearity in CCD cameras.
Abstract
Over the 25 years since the introduction of analytical camera self-calibration there has been a revolution in close-range photogrammetric image acquisition systems. High-resolution, large-area ‘digital’ CCD sensors have all but replaced film cameras. Throughout the period of this transition, self-calibration models have remained essentially unchanged. This paper reviews the application of analytical self-calibration to digital cameras. Computer vision perspectives are touched upon, the quality of self-calibration is discussed, and an overview is given of each of the four main sources of departures from collinearity in CCD cameras. Practical issues are also addressed and experimental results are used to highlight important characteristics of digital camera self-calibration.

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Citations
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Journal ArticleDOI

Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications

TL;DR: The calibration of the Kinect sensor is discussed, and an analysis of the accuracy and resolution of its depth data is provided, based on a mathematical model of depth measurement from disparity.
Journal ArticleDOI

Digital camera calibration methods: Considerations and comparisons

TL;DR: The current approaches adopted for camera calibration in close-range photogrammetry and computer vision are overviewed, and operational aspects for self-calibration are discussed, including chromatic aberration on modelled radial distortion.
Proceedings ArticleDOI

Phase measuring deflectometry: a new approach to measure specular free-form surfaces

TL;DR: In this paper, a stereo-based enhancement of phase measuring deflectometry (PMD) is proposed to measure the height and the slope of specular free-form surfaces within seconds.
Journal ArticleDOI

Accuracy Analysis of Kinect Depth Data

TL;DR: In this paper, the geometric quality of the depth data obtained by the Kinect sensor is investigated, based on the mathematical model of depth measurement by the sensor, a theoretical error analysis is presented, which provides an insight into the factors influencing the accuracy of the data.
Journal ArticleDOI

Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations

TL;DR: In this article, the workflow for using lidar data, from the choice of field area and survey planning, to acquiring and processing data and, finally, extracting geologically useful data.
References
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Journal ArticleDOI

Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Book ChapterDOI

What can be seen in three dimensions with an uncalibrated stereo rig

TL;DR: This paper addresses the problem of determining the kind of three- dimensional reconstructions that can be obtained from a binocular stereo rig for which no three-dimensional metric calibration data is available, and shows that even in this case some very rich non-metric reconstructions of the environment can nonetheless be obtained.
Journal ArticleDOI

A theory of self-calibration of a moving camera

TL;DR: The feasibility of camera calibration based on the epipolar transformation is demonstrated and two curves of degree six can be obtained in the dual plane such that one of the real intersections of the two yields the correct camera calibration.
Journal ArticleDOI

Techniques for calibration of the scale factor and image center for high accuracy 3-D machine vision metrology

TL;DR: Three groups of techniques for center calibration are presented: Group I requires using a laser and a four-degree-of-freedom adjustment of its orientation, but is simplest in concept and is accurate and reproducible; Group II is simple to perform,but is less accurate than the other two; and the most general, Group II, is accurate, but requires a good calibration plate and accurate image feature extraction of calibration points.
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