Abstract | ||
---|---|---|
This paper describes a multiple camera-based method to reconstruct the 3D shape of a human foot. From a foot database, an
initial 3D model of the foot represented by a cloud of points is built. The shape parameters, which can characterize more
than 92% of a foot, are defined by using the principal component analysis method. Then, using “active shape models”, the initial
3D model is adapted to the real foot captured in multiple images by applying some constraints (edge points’ distance and color
variance). We insist here on the experiment part where we demonstrate the efficiency of the proposed method on a plastic foot
model, and also on real human feet with various shapes. We propose and compare different ways of texturing the foot which
is needed for reconstruction. We present an experiment performed on the plastic foot model and on human feet and propose two
different ways to improve the final 3D shape’s accuracy according to the previous experiments’ results. The first improvement
proposed is the densification of the cloud of points used to represent the initial model and the foot database. The second
improvement concerns the projected patterns used to texture the foot. We conclude by showing the obtained results for a human
foot with the average computed shape error being only 1.06 mm. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1007/s11633-008-0217-6 | International Journal of Automation and Computing |
Keywords | Field | DocType |
multiple viewpoint camera,multiple camera,principal component analysis.,human foot,multiple image,shape reconstruction,real human foot,various shape,shape measurement,feet database,3d reconstruction from multiview cameras,active shape model,plastic foot model,shape parameter,principal component analysis,system integration,pca | Computer vision,Active shape model,Computer graphics (images),Computer science,Artificial intelligence,Shape reconstruction,Principal component analysis,Cloud computing,System integration | Journal |
Volume | Issue | ISSN |
5 | 3 | 1751-8520 |
ISBN | Citations | PageRank |
3-540-79546-4 | 7 | 0.85 |
References | Authors | |
7 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Edmée Amstutz | 1 | 7 | 0.85 |
Tomoaki Teshima | 2 | 18 | 3.20 |
Makoto Kimura | 3 | 7 | 0.85 |
Masaaki Mochimaru | 4 | 162 | 24.08 |
Hideo Saito | 5 | 1147 | 169.63 |