Point Clouds Construction Algorithm from a Home-Made Laser Scanner

Arthaya, Bagus; Gunawan, I Putu Adi Surya; Gunawan, Hana Maliantha

doi:10.1109/isda.2008.231

Cited by 3 publications

(1 citation statement)

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“…Besides the methods based on stripe projection laser-based projection methods became popular in the last decades [1][2][3]. Here, the object of interest is illuminated with single points or lines produced by a color laser.…”

Section: Introductionmentioning

confidence: 99%

Calibration and Reconstruction Algorithms for a Handheld 3D Laser Scanner

Lamovsky

Lasaruk

2011

Advanced Concepts for Intelligent Vision Systems

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Abstract. We develop a calibration algorithm and a three-dimensional reconstruction algorithm for a handheld 3D laser scanner. Our laser scanner consists of a color camera and a line laser oriented in a fixed relation to each other. Besides the three-dimensional coordinates of the observed object our reconstruction algorithm returns a comprehensive measure of uncertainty for the reconstructed points. Our methods are computationally efficient and precise. We experimentally evaluate the applicability of our methods on several practical examples. In particular, for a calibrated sensor setup we can estimate for each pixel a human-interpretable upper bound for the reconstruction quality. This determines a "working area" in the image of the camera where the pixels have a reasonable accuracy. This helps to remove outliers and to increase the computational speed of our implementation.

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Section: Introductionmentioning

confidence: 99%