Structure from Motion on Textures: Theory and Application to Calibration

Simple item page
dc.contributor.advisorAloimonos, Yiannis Jen_US
dc.contributor.authorBaker, Patrick Terryen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2005-08-03T13:38:27Z
dc.date.available2005-08-03T13:38:27Z
dc.date.issued2005-04-04en_US
dc.description.abstractThis dissertation introduces new mathematical constraints that enable us, for the first time, to investigate the correspondence problem using texture rather than point and lines. These three multilinear constraints are formulated on parallel equidistant lines embedded in a plane. We choose these sets of parallel lines as proxies for fourier harmonics embedded on a plane as a sort of ``texture atom''. From these texture atoms we can build up arbitrarily textured surfaces in the world. If we decompose these textures in a Fourier sense rather than as points and lines, we use these new constraints rather than the standard multifocal constraints such as the epipolar or trifocal. We propose some mechanisms for a possible feedback solution to the correspondence problem. As the major application of these constraints, we describe a multicamera calibration system written in C and MATLAB which will be made available to the public. We describe the operation of the program and give some preliminary results.en_US
dc.format.extent853361 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/2371
dc.language.isoen_US
dc.subject.pqcontrolledComputer Scienceen_US
dc.subject.pqcontrolledEngineering, Electronics and Electricalen_US
dc.subject.pquncontrolledcalibrationen_US
dc.subject.pquncontrolledtextureen_US
dc.subject.pquncontrolledcameraen_US
dc.subject.pquncontrolledharmonicen_US
dc.subject.pquncontrolledstructure from motionen_US
dc.subject.pquncontrolledgeometryen_US
dc.titleStructure from Motion on Textures: Theory and Application to Calibrationen_US
dc.typeDissertationen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
umi-umd-2230.pdf
Size:
833.36 KB
Format:
Adobe Portable Document Format
Download

Collections

UMD Theses and Dissertations
Computer Science Theses and Dissertations