2026-09-19T11:40:18Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/356612022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Groan Li and Derek Rowell.
Bingham, Jeffrey Thomas
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2007-01-10T16:58:16Z
2007-01-10T16:58:16Z
2006
2006
http://hdl.handle.net/1721.1/35661
76766247
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
Includes bibliographical references (p. 77-81).
The current method of studying in vivo kinematics of human joints is a tedious and time consuming task. Current techniques require the segmentation of hundreds of raster images, often by hand, and registration of three-dimensional models with two-dimensional contours. Automation of these processes would greatly accelerate research in this field. This research presents an automated method for recovering the pose of a three dimensional model from planar contours. Validation of the algorithm and discussion of its performance and applicability are detailed herein.
by Jeffrey Thomas Bingham.
S.M.
81 p.
3876875 bytes
3880182 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
An automated matching algorithm for dual orthogonal fluoroscopy
Thesis
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