Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 31-36, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W8-31-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Nov 2017
TOWARDS ROBUST SELF-CALIBRATION FOR HANDHELD 3D LINE LASER SCANNING
M. Bleier1 and A. Nüchter1,2 1Zentrum für Telematik e.V., Würzburg, Germany
2Informatics VII – Robotics and Telematics, Julius Maximilian University of Würzburg, Germany
Keywords: structured light, self-calibration, laser scanning, 3D reconstruction Abstract. This paper studies self-calibration of a structured light system, which reconstructs 3D information using video from a static consumer camera and a handheld cross line laser projector. Intersections between the individual laser curves and geometric constraints on the relative position of the laser planes are exploited to achieve dense 3D reconstruction. This is possible without any prior knowledge of the movement of the projector. However, inaccurrately extracted laser lines introduce noise in the detected intersection positions and therefore distort the reconstruction result. Furthermore, when scanning objects with specular reflections, such as glossy painted or metalic surfaces, the reflections are often extracted from the camera image as erroneous laser curves. In this paper we investiagte how robust estimates of the parameters of the laser planes can be obtained despite of noisy detections.
Conference paper (PDF, 2928 KB)


Citation: Bleier, M. and Nüchter, A.: TOWARDS ROBUST SELF-CALIBRATION FOR HANDHELD 3D LINE LASER SCANNING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 31-36, https://doi.org/10.5194/isprs-archives-XLII-2-W8-31-2017, 2017.

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