Abstract
Shape from focus (SFF) uses focus measure operator for depth measurement from a sequence of images. From the analysis of defocused image, it is observed that the focus measure operator should respond to high frequency variations of image intensity and produce maximum values when the image is perfectly focused. Therefore, an effective focus measure operator must be a high-pass filter. Laplacian is mostly used as focus measure operator in the previous SFF methods. In this paper, generalized Laplacian is used as focus measure operator for better 3D shape recovery of objects. © 2008 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Riaz, M., Park, S., Ahmad, M. B., Rasheed, W., & Park, J. (2008). Generalized Laplacian as focus measure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5101 LNCS, pp. 1013–1021). https://doi.org/10.1007/978-3-540-69384-0_106
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
