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- Title
Compressive shape from focus based on a linear measurement model.
- Authors
Ding Luo; Längle, Thomas; Beyerer, Jürgen
- Abstract
Estimation accuracy of conventional shape from focus techniques is strongly coupled with the number of images in the focal stack, limiting the measurement speed. In this article, a novel compressive shape from focus scheme is proposed with an exemplary algorithm based on modified Laplacian operator and principal component analysis. Simulation with synthetic focal stacks have demonstrated comparable results to the conventional method. A test with 6 compressively captured images achieves the same level of performance to that of the conventional method with 100 images. Several other focus measure algorithms are also implemented and tested under the compressive scheme, which demonstrates thewide applicability of the proposed method.
- Subjects
SHAPE measurement; LENGTH measurement; LAPLACIAN operator; MULTIPLE correspondence analysis (Statistics); ESTIMATION theory
- Publication
Technisches Messen, 2017, Vol 84, Issue 7/8, p452
- ISSN
0171-8096
- Publication type
Article
- DOI
10.1515/teme-2017-0007