21.2.2014
We are pleased to announce that Mgr. Svorad Štolc, PhD. was awarded with Best Paper Award, given for the presentation of his work Depth and all-in-focus images obtained by multi-line-scan light-field approach, on international Conference IS&T / SPIE International Conference on Image Processing: Machine Vision Applications VII, San Francisco, USA, February 2-6, 2014.
ŠTOLC, S. - HUBER-MÖRK, R. - HOLLÄNDER, B. - SOUKUP,
D.: Depth and all-in-focus images obtained by multi-linescan light-field
approach. To appear in: Proc. of IS&T / SPIE Electronic Imaging - Image Processing: Machine Vision Applications VII, February 2014.
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
Best Paper Award Certificate_Stolc
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