Simulation-based optimization of camera placement in the context of industrial pose estimation

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Abstrakt

In this paper, we optimize the placement of a camera in simulation in order to achieve a high success rate for a pose estimation problem. This is achieved by simulating 2D images from a stereo camera in a virtual scene. The stereo images are then used to generate 3D point clouds based on two different methods, namely a single shot stereo matching approach and a multi shot approach using phase shift patterns. After a point cloud is generated, we use a RANSAC-based pose estimation algorithm, which relies on feature matching of local 3D descriptors. The object we pose estimate is a tray containing items to be grasped by a robot. The pose estimation is done for different positions of the tray and with different item configuration in the tray, in order to determine the success rate of the pose estimation algorithm for a specific camera placement. Then the camera placement is varied according to different optimization algorithms in order to maximize the success rate. Finally, we evaluate the simulation in a real world scene, to determine whether the optimal camera position found in simulation matches the real scenario.

OriginalsprogEngelsk
TitelProceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
RedaktørerFrancisco Imai, Alain Tremeau, Jose Braz
Vol/bind5
ForlagSCITEPRESS Digital Library
Publikationsdatojan. 2018
Sider524-533
ISBN (Elektronisk)978-989-758-290-5
DOI
StatusUdgivet - jan. 2018
Begivenhed13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISIGRAPP 2018 - Funchal, Madeira, Portugal
Varighed: 27. jan. 201829. jan. 2018
Konferencens nummer: 13
http://www.visapp.visigrapp.org/?y=2018

Konference

Konference13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Nummer13
LandPortugal
ByFunchal, Madeira
Periode27/01/201829/01/2018
Internetadresse

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  • Citationsformater

    Jørgensen, T. B., Iversen, T. M., Lindvig, A. P., Schlette, C., Kraft, D., Savarimuthu, T. R., Roßmann, J., & Krüger, N. (2018). Simulation-based optimization of camera placement in the context of industrial pose estimation. I F. Imai, A. Tremeau, & J. Braz (red.), Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Bind 5, s. 524-533). SCITEPRESS Digital Library. https://doi.org/10.5220/0006553005240533