Abstracts

Surface Model Generation by the Relics from Slice Images, and the Approach to the Automatic Restoration
Norihiro Abe , Kyusyu Institute of Technology, Japan
Yasuhiro Watanabe , Kyusyu Institute of Technology, Japan
Kazuaki Tanaka , Kyushu Institute of Technology, Japan
Hirokazu Taki , Wakayama University, Japan
Yoshimasa Kinoshita , University of Occupational and Environmental Health, Japan
Akira Yokota , Kyushu Institute of Technology, Japan

Session: Technology: 3D Acquisition and Modeling

The research of a relic excavated from remains has become popular. But a laser measurement device is mainly used for measuring shapes of fragments and can't measure uneven complicated shapes. So the X-ray computed tomography to make 3-dimensional measurement possible has begun to be used as a measurement device, but the model generation needs the hand of man still more. In this research, we propose a procedure to automatically recover surface models of fragments with complicated shapes from slice images measured with an X-ray computed tomography. We have already reported a basic restoration system with MRI, and models restored with the system are useful to visualization or simulation of relic restoration. Regrettably, the models are not enough precise for experts such as archeologists to make detailed investigation possible. Much more precise models are needed to match the aim of experts.

To get a surface model, corresponding points of contours of two slice images must be found, but this is difficult without manual interposition of man. The surface model of a complicated shape is automatically formed by setting up a surface patch on each grid by interpolating intermediate points between the two corresponding contours.

So far all the restoration task is done by the manual operation as long as we manipulate the relic fragment in virtual space. Then, the automatic restoration is desired. The precise shape information of a cross section of each fragment can be easily got with our method using CT. Therefore, we aim at the automatic restoration using the information.

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Published: 01/09/01
Last updated:
01/07/18
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