Most anthropometrical measurements today are based on using such standard tools as anthropometers, calipers and tape measures. Automatization of measurement process with high speed and accuracy using non-contact scanners can give significant benefit for industry and for customers. The problem of digital surface reconstruction and surface measurement is especially important in medicine: for facial surgery simulation, diagnosis of craniofacial anomalies, trauma to the head, and for reconstructive surgery. Different approaches and equipment have been developed for the solution of this problem; for example, the photogrammetric method based on the principle of rasterstereography , a moiré - based light projection system , and the 3D reconstruction system . All these methods are based on non-contact measurement principles. The surface digitization system based on a contact method is presented in . The systems described above have many unresolved problems, (such, for example, as a time consuming analysis of the pattern of the object in order to obtain its digital image ; a lengthy calibration procedure and intensive computation (off-line processing of data) ; huge size and weight, high cost of the system ; slow data acquisition and restricted accuracy due to friction of a probe with a surface ). Thus the need of a simple, cheap and fast 3D digital surface reconstruction system still exist today. The system presented in the paper allows solving these problems.
|Title of host publication||Fourth IASTED International Conference “Signal and Image Processing”|
|Publication status||Published - 2002|
Bibliographical noteThis paper is not available on the repository. It was given at the Fourth IASTED International Conference “Signal and Image Processing”, August 12 – 14, 2002 Kauai, USA
- Computer Vision
- Medical Imaging
- Image Representation
- Image Visualization
- Medical Application
Vershinin, Y. (2002). 3D Digital Surface Reconstruction Scanner for Medical Application. In N. Younan (Ed.), Fourth IASTED International Conference “Signal and Image Processing” (pp. 491-496). Acta Press.