Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/51962
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dc.contributor.authorNg, Shangru.
dc.date.accessioned2013-04-18T06:53:26Z
dc.date.available2013-04-18T06:53:26Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10356/51962
dc.description.abstractWhen modeling 3D faces from 2D images, many different views of the same stationary face model are required. 2D images are also more susceptible to interference from the environment. The Kinect sensor has been shown to provide reliable 3D information that can be used to aid in 3D face modeling. This project aims to demonstrate how the Kinect data can be used in conjunction with a generic face model to achieve an automated 3D face modeling process from 3D data. The project explored several methods of obtaining the data from the Kinect sensor as well as modifying the data of a 3D model by scripting. A framework was achieved whereby the user was able to generate a directly mapped and transformed 3D plane model using feature point data obtained from the sensor.en_US
dc.format.extent57 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphicsen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen_US
dc.title3D face mapping via Kinecten_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSeah Hock Soonen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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