Title :
Depth coded shape from focus
Author :
Lenz, Martin ; Ferstl, David ; Rüther, Matthias ; Bischof, Horst
Author_Institution :
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria
Abstract :
We present a novel shape from focus method for high- speed shape reconstruction in optical microscopy. While the traditional shape from focus approach heavily depends on presence of surface texture, and requires a considerable amount of measurement time, our method is able to perform reconstruction from only two images. Our method relies the rapid projection of a binary pattern sequence, while object is continuously moved through the camera focus range and a single image is continuously exposed. Deconvolution of the integral image allows a direct decoding of binary pattern and its associated depth. Experiments a synthetic dataset and on real scenes show that a depth map can be reconstructed at only 3% of memory costs and fraction of the computational effort compared with traditional shape from focus.
Keywords :
cameras; deconvolution; image reconstruction; image texture; optical microscopy; 3D reconstruction; binary pattern direct decoding; binary pattern sequence projection; camera focus range; depth coded shape from focus method; integral image deconvolution; optical microscopy; shape reconstruction; surface texture; Accuracy; Cameras; Image resolution; Kernel; Microscopy; Shape; Three dimensional displays;
Conference_Titel :
Computational Photography (ICCP), 2012 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-1660-6
DOI :
10.1109/ICCPhot.2012.6215218