2008
DOI: 10.1007/978-3-540-69321-5_27
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Photoconsistent Relative Pose Estimation between a PMD 2D3D-Camera and Multiple Intensity Cameras

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Cited by 4 publications
(11 citation statements)
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“…The function D(·, ·) computes the image-distance between two inhomogenized points, as in (13), and the denominator corresponds to the number of vertices on the board, with |π| = 35 in the present experiments. The measure (17) can of course be averaged over all images in which the board is visible. The rgb cameras were calibrated, by standard methods, as described above.…”
Section: Calibration Errormentioning
confidence: 99%
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“…The function D(·, ·) computes the image-distance between two inhomogenized points, as in (13), and the denominator corresponds to the number of vertices on the board, with |π| = 35 in the present experiments. The measure (17) can of course be averaged over all images in which the board is visible. The rgb cameras were calibrated, by standard methods, as described above.…”
Section: Calibration Errormentioning
confidence: 99%
“…Calibration error(17), measured by projecting the fitted tof points Q π 2 to the left and right rgb images (1624 × 1224) of two different systems, i = 1, 3. Each histogram combines left-camera and right-camera measurements from 7 views of the calibration board.…”
mentioning
confidence: 99%
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“…The calibrated binocular reconstruction is known to be accurate, and can therefore be used to check for geometric distortion in the range data. The reconstruction was aligned to the range data by a similarity transformation Q ≈ SP, which is analogous to the uncalibrated case Q ≈ HP in (3). The transformation has the form where R is a rotation matrix, t is a translation, and σ is a scale factor.…”
Section: Similarity Alignmentmentioning
confidence: 99%
“…This approach can be extended in two ways. Firstly, it is possible to optimize over an explicit parameterization of the camera matrices, as in the work of Beder et al [3] and Koch et al [14]. The relative position and orientation of all cameras can be estimated by this method.…”
Section: Introductionmentioning
confidence: 99%