GVU Technical Report Number:
GIT-GVU-91-25
Title:
Physically Accurate Synthetic Images for Computer Vision System Design
Authors:
Holly Rushmeier
Johne M. Parker
Kok-Meng Lee
Abstract:
The design of a computer vision system for part presentation is a complex
hardware/software problem. In the past, standard renderings of parts
available from CAD systems have been used as aids in the design process.
However, such standard renderings are very limited because of the simple
illumination models they employ. We present preliminary results of a
study of the utility of physically accurate synthetic images in the
design of vision systems. Physically accurate images can potentially be
used both for the hardware lighting and sensing design, as well as for
template design for model-based matching for part location. We describe
how state-of-the-art computer graphics global illumination algorithms can
be used to generate images for the vision problem. We present a
comparison of a variety of synthetic images to images captured using the
GRIPPS retroreflective vision system under development at Georgia Tech.
Keywords:
Computer graphics, computer vision, global illumination, part
presentation, retroreflection, synthetic image generation
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