This is a local copy of the web
page originally hosted at:
www.cv.iit.nrc.ca/~greenspa/Sushi.htm
Sushi: Supervisory Scanner Human Interface
Michael Greenspan
in collaboration with: Winston Wong, Christian
Langis, Jean-Francois LaPointe,
Ben
Houston, Vitana, and Hymarc Ltd.
Object digitization - the process of
acquiring a complete covering set of range images of the surface of a model
- is a highly skilled process, and can be labor intensive. Sushi
is a system which applies a semi-autonomous approach to the human
computer interaction of digitization.
The Sushi system was
inspired by previous research in the supervisory control of robots, as well as
the Hymarc Ltd. RapidscanTM project. The hardware platform comprises a Vitana Biris range sensor
mounted on a CRS A465 robotic manipulator. The operator is provided which a 3D
simulation visualization of the robot-mounted scanning system and
workspace, as well as a rich set of tools to help plan and visualize image
acquisition.
Current
system features include:
- frustum positioning
and gaze planning tools
- collision detection/motion planning
- ICP-based
registration
- image filtering and
post processing
An attractive aspect of the Sushi
framework is that it is incremental: additional functions with a greater
degree of autonomy can be added as they become
available.
Following are some images of two objects
that we have modeled using Sushi - a Brachiosaurus and Mr. Clown (thank you
Isaac for lending us some toys). Each model required around 20 range images.
It took approximately 4 hours to acquire the data which, given the complexity
of the objects, is quite efficient.
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Brachiosaurus |
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