Abstract | ||
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This work is concerned with the signal-to-symbol problem of building skinned, segmented, landmarked and labeled 3D models of the whole human body from range data. A fully automated model-based process is presented that takes raw range data, cleans and skins it, and then locates "interesting" features, to enrich the surface with symbolic information for specific applications. The method is validated via volumetrics in medicine and surface anthropometry. |
Year | DOI | Venue |
---|---|---|
1999 | 10.1109/IM.1999.805369 | 3DIM |
Keywords | Field | DocType |
symbolic information,human body modeling,whole human body,signal-to-symbol problem,surface anthropometry,specific application,raw range data,range data,model-based process,biomedical imaging,computer vision,surface reconstruction,feature extraction,medicine,skin,computer graphics,read only memory,anthropology,human body,computational geometry,computer science | Computer vision,Human body modeling,Computer science,Computational geometry,Image representation,Feature extraction,Artificial intelligence,Computer graphics | Conference |
ISBN | Citations | PageRank |
0-7695-0062-5 | 20 | 1.86 |
References | Authors | |
15 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
L. Dekker | 1 | 20 | 1.86 |
I. Douros | 2 | 20 | 1.86 |
B. F. Buston | 3 | 20 | 1.86 |
P Treleaven | 4 | 22 | 2.28 |