Structure from Motion Methods for 3D Modeling of the Ear Canal | Florin S. Telcean
| | Abstract | Structure from Motion deals with 3D reconstruction from 2D images and it is one of the most widely researched problems within computer vision area. Recently, it was successfully integrated in many medical oriented applications.
Reconstruction of accurate models of the ear canal is a key step in the design and production of hearing aids. Actual methods are based on an invasive procedure (ear canal impression taking), require time, special trained skills and sophisticated and expensive hardware as 3D laser scanners. On the other side, the video otoscope became a standard tool in the hearing specialist office and it is able to provide images of the ear canal.
This thesis is about 3D reconstruction of the human ear canal from images using Structure from Motion methods. Two aspects are studied. First, the images of the ear canal are analyzed in order to see if they provide enough information for reconstruction algorithms. Second, the reconstruction accuracy of tube-like objects is analyzed in the context of a specific Structure from Motion algorithm. | | Type | Master's thesis [Academic thesis] | | Year | 2007 | | Publisher | Informatics and Mathematical Modelling, Technical University of Denmark, DTU | | Address | Richard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby | | Series | IMM-Thesis-2007-07 | | Note | | | Electronic version(s) | [pdf] | | BibTeX data | [bibtex] | | IMM Group(s) | Image Analysis & Computer Graphics |
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