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Digital Bayon Project

  • Presentation
When Sep 08, 2008
from 02:00 pm to 03:00 pm
Where Sem183-2
Contact Name Martin Kampel
Contact Email
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Prof. Katsushi Ikeuchi
(University of Tokyo)

Digital Bayon Project

This talk introduces Digital Bayon Project, conducted by The University
of Tokyo team, with the cooperation of the Japanese Government team for
Safeguarding Angkor, to scan the Bayon temple and obtain 3D digital data
of the temple. We have conducted over 1500 person-day scanning missions.
During these missions, we obtained range data from more than 14,600
different directions using commercially available sensors, such as Cyrax
and Z+F, as well as newly developed sensors for this scanning mission,
such as the UTokyo Balloon and UTokyo climbing sensors. The total amount
of the data approximates a quarter of a terabyte.
We have developed parallel alignment processing with merging software
that run on a PC cluster a hundred times faster than previously
available software. This cluster processes our massive range data into
unified 3D digital data of the Bayon temple.
As a result of this effort, we have obtained the following 3D data:
1) The entire Bayon 3D structure: By using Cyrax, Z+F, balloon and
climbing sensors, we have obtained a 3D model of the entire Bayon
temple. From this model, we have created floor plans of the temple, and
have confirmed that the Bayon temple is rotated 0.94 degrees
counter-clockwise from the exact east-west lines.
2) 173 deity faces. We have scanned all the 173 faces of the deities on
the exterior of the temple using Cyrax and Balloon sensors, analyzed
these data, and verified that we can classify these faces into three
Dava, Davatar, and Asherah. It was also confirmed that there is
sufficient resemblance among groups of faces to support the assumption
that more than one worker group conducted the construction project in a
parallel manner.
3) 16 hidden pediments. By using a newly created mirror range sensor, we
obtained pictures of 16 hidden pediments, whose existence had not been
previously known.
4) 8 wall reliefs. We obtained 3D digital data of all eight wall
reliefs along the inner and outer corridors using a VIVID sensor.
We plan to continue our efforts to create finer models of the structure,
to fill the holes still missing in parts of the structure, and to
complete our models by adding texture to the 3D digital data.

Brief Biographical Sketch:
Dr. Katsushi Ikeuchi is a Professor at the University of Tokyo. He
received a Ph.D. degree in Information Engineering from the University
of Tokyo in 1978. After working at the Massachusetts Institute of
Technology's AI Lab for two years, Electrotechnical Lab, Japan for five
years, and Carnegie Mellon University for ten years, he joined the
university in 1996. His research interest spans computer vision,
robotics, and computer graphics. He has received several awards,
including the IEEE R&A K-S Fu Memorial Best Transaction Paper award for
the paper "Toward Automatic Robot Instruction from Perception." He is a
distinguished speaker of the IEEE CS society this year. He has been
elected as a fellow of IEEE since 1998.

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