Multiple Hypothesis Tracking for Automatic Optical Motion Capture
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Iterated Denoising for Image Recovery
DCC '02 Proceedings of the Data Compression Conference
IEEE Transactions on Information Technology in Biomedicine
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The paper is devoted to analysis of orthodontic images and to new mathematical methods for evaluation of their characteristics. The main goal of the paper is in analysis of three-dimensional objects to enable numerical evaluation of measures important for the study of the appropriate treatment after dental operations. Methods presented include (i) computer analysis of a single image based upon its de-noising followed by a thresholding and image components detection and (ii) presentation of tools for the three dimensional modelling using the double camera system. Proposed algorithms allow semi-automatic evaluation of measures between selected objects.