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Image‐based 3D reconstruction using helical nanobelts for localized rotations
Author(s) -
KRATOCHVIL B.E.,
DONG L.X.,
ZHANG L.,
NELSON B.J.
Publication year - 2010
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.2009.03313.x
Subject(s) - computer vision , photogrammetry , computer science , artificial intelligence , structure from motion , 3d reconstruction , image (mathematics) , motion (physics)
Summary A variety of different methods exist for gathering three‐dimensional information for micro‐ and nanoscale objects. Tilting of samples in a scanning electron microscope provides a non‐destructive way of generating these data. Traditionally, the reconstruction of this image data is performed by stereo photogrammetric methods that compare features from two or three frames. We propose the application of techniques from the structure‐from‐motion community as being efficient, high‐precision alternatives to stereo methods, which allows for automated utilization of a large number of sampled images. We propose the use of nanobelts to generate localized rotational motions. Using this method alleviates the demand of high‐precision actuators, allows 360° rotations, and provides a useful tool for micro‐ and nanomanipulation.