Tracking of industrial objects by using CAD models

In this paper we present a model-based approach for real-time camera pose estimation in industrial scenarios. The line model which is used for tracking is generated by rendering a polygonal model and extracting contours out of the rendered scene. By un-projecting a point on the contour with the depth value stored in the z-buffer, the 3D coordinates of the contour can be calculated. For establishing 2D/3D correspondences the 3D control points on the contour are projected into the image and a perpendicular search for gradient maxima for every point on the contour is performed. Multiple hypotheses of 2D image points corresponding to a 3D control point make the pose estimation robust against ambiguous edges in the image.

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Publication Details

Journal
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
Published
2024-11-27
DOI
https://doi.org/10.20385/1860-2037/4.2007.1
Citations
33
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
0.25
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article

Tracking of industrial objects by using CAD models

Didier Stricker, Harald Wuest
33 citations
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
Advanced Vision and Imaging
0.25
article

Tracking of industrial objects by using CAD models

Didier Stricker, Harald Wuest
article en
33 citations

Abstract

In this paper we present a model-based approach for real-time camera pose estimation in industrial scenarios. The line model which is used for tracking is generated by rendering a polygonal model and extracting contours out of the rendered scene. By un-projecting a point on the contour with the depth value stored in the z-buffer, the 3D coordinates of the contour can be calculated. For establishing 2D/3D correspondences the 3D control points on the contour are projected into the image and a perpendicular search for gradient maxima for every point on the contour is performed. Multiple hypotheses of 2D image points corresponding to a 3D control point make the pose estimation robust against ambiguous edges in the image.

Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)Vol. 4(1)
Fraunhofer Institute for Computer Graphics Research (DE), Fraunhofer-Gesellschaft (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Advanced Vision and Imaging
0.25
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