An automated matching algorithm for dual orthogonal fluoroscopy
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...
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| Format: | Others |
| Language: | English |
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Massachusetts Institute of Technology
2007
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| Online Access: | http://hdl.handle.net/1721.1/35661 |
| Summary: | 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. |
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