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Proceedings Paper

Depth and all-in-focus images obtained by multi-line-scan light-field approach
Author(s): Svorad Štolc; Reinhold Huber-Mörk; Branislav Holländer; Daniel Soukup
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Paper Abstract

We present a light-field multi-line-scan image acquisition and processing system intended for the 2.5/3-D inspection of fine surface structures, such as small parts, security print, etc. in an industrial environment. The system consists of an area-scan camera, that allows for a small number of sensor lines to be extracted at high frame rates, and a mechanism for transporting the inspected object at a constant speed. During the acquisition, the object is moved orthogonally to the camera’s optical axis as well as the orientation of the sensor lines. In each time step, a predefined subset of lines is read out from the sensor and stored. Afterward, by collecting all corresponding lines acquired over time, a 3-D light field is generated, which consists of multiple views of the object observed from different viewing angles while transported w.r.t. the acquisition device. This structure allows for the construction of so-called epipolar plane images (EPIs) and subsequent EPI-based analysis in order to achieve two main goals: (i) the reliable estimation of a dense depth model and (ii) the construction of an all-in-focus intensity image. Beside specifics of our hardware setup, we also provide a detailed description of algorithmic solutions for the mentioned tasks. Two alternative methods for EPI-based analysis are compared based on artificial and real-world data.

Paper Details

Date Published: 7 March 2014
PDF: 16 pages
Proc. SPIE 9024, Image Processing: Machine Vision Applications VII, 902407 (7 March 2014); doi: 10.1117/12.2042475
Show Author Affiliations
Svorad Štolc, AIT Austrian Institute of Technology GmbH (Austria)
Institute of Measurement Science (Slovakia)
Reinhold Huber-Mörk, AIT Austrian Institute of Technology GmbH (Austria)
Branislav Holländer, AIT Austrian Institute of Technology GmbH (Austria)
Daniel Soukup, AIT Austrian Institute of Technology GmbH (Austria)

Published in SPIE Proceedings Vol. 9024:
Image Processing: Machine Vision Applications VII
Kurt S. Niel; Philip R. Bingham, Editor(s)

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