A System for 3D Shape Estimation and Texture Extraction via Structured Light

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dc.contributor.advisorChellappa, Ramaen_US
dc.contributor.authorMiller, Richarden_US
dc.contributor.departmentElectrical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2011-02-19T06:30:35Z
dc.date.available2011-02-19T06:30:35Z
dc.date.issued2010en_US
dc.description.abstractShape estimation is a crucial problem in the fields of computer vision, robotics and engineering. This thesis explores a shape from structured light (SFSL) approach using a pyramidal laser projector, and the application of texture extraction. The specific SFSL system is chosen for its hardware simplicity, and efficient software. The shape estimation system is capable of estimating the 3D shape of both static and dynamic objects by relying on a fixed pattern. In order to eliminate the need for precision hardware alignment and to remove human error, novel calibration schemes were developed. In addition, selecting appropriate system geometry reduces the typical correspondence problem to that of a labeling problem. Simulations and experiments verify the effectiveness of the built system. Finally, we perform texture extraction by interpolating and resampling sparse range estimates, and subsequently flattening the 3D triangulated graph into a 2D triangulated graph via graph and manifold methods.en_US
dc.identifier.urihttp://hdl.handle.net/1903/11077
dc.subject.pqcontrolledElectrical Engineeringen_US
dc.subject.pquncontrolled3D Estimationen_US
dc.subject.pquncontrolledCalibrationen_US
dc.subject.pquncontrolledComputer Visionen_US
dc.subject.pquncontrolledShapeen_US
dc.subject.pquncontrolledStructured Lighten_US
dc.subject.pquncontrolledTextureen_US
dc.titleA System for 3D Shape Estimation and Texture Extraction via Structured Lighten_US
dc.typeThesisen_US

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