&lt;title&gt;Towards autonomous high-precision calibration of digital cameras&lt;/title&gt;

Abraham, Steffen; Hau, Thomas

doi:10.1117/12.279802

Cited by 23 publications

(14 citation statements)

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“…The interior orientation of each camera is determined in advance by camera calibration according to Abraham and Hau (1997) using Chebyshev polynomials. Using the equidistant-projection and applying all corrections to the feature points, we obtain image points e x lying closer to the principal point H than the gnomonic projections g x of the observed scene points, see Fig.…”

Section: Data Acquisition and Associationmentioning

confidence: 99%

Incremental Real-Time Bundle Adjustment for Multi-Camera Systems With Points at Infinity

Schneider

Läbe

Förstner

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper presents a concept and first experiments on a keyframe-based incremental bundle adjustment for real-time structure and motion estimation in an unknown scene. In order to avoid periodic batch steps, we use the software iSAM2 for sparse nonlinear incremental optimization, which is highly efficient through incremental variable reordering and fluid relinearization. We adapted the software to allow for (1) multi-view cameras by taking the rigid transformation between the cameras into account, (2) omnidirectional cameras as it can handle arbitrary bundles of rays and (3) scene points at infinity, which improve the estimation of the camera orientation as points at the horizon can be observed over long periods of time. The real-time bundle adjustment refers to sets of keyframes, consisting of frames, one per camera, taken in a synchronized way, that are initiated if a minimal geometric distance to the last keyframe set is exceeded. It uses interest points in the keyframes as observations, which are tracked in the synchronized video streams of the individual cameras and matched across the cameras, if possible. First experiments show the potential of the incremental bundle adjustment w.r.t. time requirements. Our experiments are based on a multi-camera system with four fisheye cameras, which are mounted on a UAV as two stereo pairs, one looking ahead and one looking backwards, providing a large field of view.

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Section: Data Acquisition and Associationmentioning

confidence: 99%

Incremental Real-Time Bundle Adjustment for Multi-Camera Systems With Points at Infinity

Schneider

Läbe

Förstner

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…There is an extensive body of literature on the calibration of digital cameras, with topics ranging from overall reviews to general investigations, lowcost digital cameras , stability of parameters,behaviour of IO parameters and accuracy aspects [2]. A few digital camera calibration method for photogrammetric mapping purpose have also been developed [3][4] [5].For low attitude UAV-based 3D photogrammetric mapping, this paper presents a new calibration method and the emphasis is to measure and account for distortions. …”

Section: Introductionmentioning

confidence: 99%

Non-metric CCD Camera Calibration for Low Attitude Photogrammetric Mapping

Cui

Lin

2007

2007 8th International Conference on Electronic Measurement and Instruments

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A low attitude photogrammetric system is developed in Chinese Academy of Surveying and Mapping ,since the UAV(Unmanned aerial Vehicle) has advantages over traditional photogrammetric craft, such as small size, low weight, slow flight speed and extended range.This paper discusses calibrating method of an inexpensive 3K by 2K non-metric CCD camera used in this system. First,with 3D testfield the self-calibrating bundle adjustment is adopted to determine the principal distance , the location of the principal point and distortion parameters of the camera. Secondly, a further distortion test was performed, this time with a planar 2D testfield to create a digital distortion model. Moreover, the residual distortion error detection method is proposed by transforming and comparing the distortions obtained from the two calibration steps .

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“…A fast and automatic calibration (Abraham and Hau, 1997) is required for sustaining certain efficiency and operation capability when dealing with huge number of cameras for driver assistant systems. Therefore it is required to realize the capability of automatic calibration by taking advantage of automation techniques in software and hardware e.g.…”

Section: Automatic Calibration and High Repetitive Accuracymentioning

confidence: 99%

Introducing Novel Generation of High Accuracy Camera Optical-Testing and Calibration Test-Stands Feasible for Series Production of Cameras

Shahraki

Haala

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The recent advances in the field of computer-vision have opened the doors of many opportunities for taking advantage of these techniques and technologies in many fields and applications. Having a high demand for these systems in today and future vehicles implies a high production volume of video cameras. The above criterions imply that it is critical to design test systems which deliver fast and accurate calibration and optical-testing capabilities. In this paper we introduce new generation of test-stands delivering high calibration quality in single-shot calibration of fisheye surround-view cameras. This incorporates important geometric features from bundle-block calibration, delivers very high (sub-pixel) calibration accuracy, makes possible a very fast calibration procedure (few seconds), and realizes autonomous calibration via machines. We have used the geometrical shape of a Spherical Helix (Type: 3D Spherical Spiral) with special geometrical characteristics, having a uniform radius which corresponds to the uniform motion. This geometrical feature was mechanically realized using three dimensional truncated icosahedrons which practically allow the implementation of a spherical helix on multiple surfaces. Furthermore the test-stand enables us to perform many other important optical tests such as stray-light testing, enabling us to evaluate the certain qualities of the camera optical module.

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<title>Towards autonomous high-precision calibration of digital cameras</title>

Cited by 23 publications

References 0 publications

Incremental Real-Time Bundle Adjustment for Multi-Camera Systems With Points at Infinity

Incremental Real-Time Bundle Adjustment for Multi-Camera Systems With Points at Infinity

Non-metric CCD Camera Calibration for Low Attitude Photogrammetric Mapping

Introducing Novel Generation of High Accuracy Camera Optical-Testing and Calibration Test-Stands Feasible for Series Production of Cameras

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