Advanced Search
DSpace@MIT

3-dimensional surface imaging using Active Wavefront Sampling

Research and Teaching Output of the MIT Community

Show simple item record

dc.contributor.advisor Douglas P. Hart. en_US
dc.contributor.author Frigerio, Federico, Ph. D. Massachusetts Institute of Technology en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of Mechanical Engineering. en_US
dc.date.accessioned 2007-08-03T18:21:55Z
dc.date.available 2007-08-03T18:21:55Z
dc.date.copyright 2006 en_US
dc.date.issued 2006 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/38258
dc.description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006. en_US
dc.description Includes bibliographical references (p. 129-130). en_US
dc.description.abstract A novel 3D surface imaging technique using Active Wavefront Sampling (AWS) is presented. In this technique, the optical wavefront traversing a lens is sampled at two or more off-axis locations and the resulting motion of each target feature is measured. This target feature image motion can be used to calculate the feature's distance to the camera. One advantage of this approach over traditional stereo techniques is that only one optical train and one sensor can be used to obtain depth information, thereby reducing the bulk and the potential cost of the equipment. AWS based systems are also flexible operationally in that the number of sampling positions can be increased or decreased to respectively raise the accuracy or to raise the processing speed of the system. Potential applications include general machine vision tasks, 3D endoscopy, and microscopy. The fundamental depth sensitivity of an AWS based system will be discussed, and practical implementations of the approach will be described. Algorithms developed to track target features in the images captured at different aperture sampling positions will be discussed, and a method for calibrating an AWS based method will also be described. en_US
dc.description.statementofresponsibility by Federico Frigerio. en_US
dc.format.extent 130 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject Mechanical Engineering. en_US
dc.title 3-dimensional surface imaging using Active Wavefront Sampling en_US
dc.title.alternative Three-dimensional surface imaging using AWS en_US
dc.type Thesis en_US
dc.description.degree Ph.D. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Mechanical Engineering. en_US
dc.identifier.oclc 150961779 en_US


Files in this item

Name Size Format Description
150961779.pdf 13.37Mb PDF Preview, non-printable (open to all)
150961779-MIT.pdf 13.33Mb PDF Full printable version (MIT only)

This item appears in the following Collection(s)

Show simple item record

MIT-Mirage