Name
Abstract | ||
|---|---|---|
Today the design of custom in-the-ear hearing aids is based on personal experience and skills and not on a systematic description of the variation of the shape of the ear canal. In this paper it is described how a dense surface point distribution model of the human ear canal is built based on a training set of laser scanned ear impressions and a sparse set of anatomical landmarks placed by an expert. The landmarks are used to warp a template mesh onto all shapes in the training set. Using the vertices from the warped meshes, a 3D point distribution model is made. The model is used for testing for gender related differences in size and shape of the ear canal. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45787-9_47 | MICCAI (2) |
Keywords | Field | DocType |
systematic description,laser scanned ear impression,anatomical landmark,training set,human ear canal,personal experience,point distribution model,human ear,custom in-the-ear hearing aid,statistical shape model,ear canal,dense surface point distribution,laser scanning | Training set,Computer vision,Point distribution model,Thin plate spline,Polygon mesh,Vertex (geometry),Pattern recognition,Computer science,Artificial intelligence,Ear canal | Conference |
ISBN | Citations | PageRank |
3-540-44225-1 | 21 | 1.15 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rasmus R. Paulsen | 1 | 22 | 2.18 |
| Rasmus Larsen | 2 | 988 | 89.80 |
| Claus Nielsen | 3 | 21 | 1.15 |
| Søren Laugesen | 4 | 21 | 1.15 |
| Bjarne Ersbøll | 5 | 450 | 38.06 |