Compressive shape from focus based on a linear measurement model

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. Test with 6 compressively captured images achieves
same level of performance to that of the conventional method
with 100 images.