Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/45764
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dc.contributor.authorWang, Bei
dc.date.accessioned2011-06-20T02:02:40Z
dc.date.available2011-06-20T02:02:40Z
dc.date.copyright2011en_US
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10356/45764
dc.description.abstractThis is an experimental-based project aiming at using current computer vision technologies to extract the human out from the background automatically from portrait oil paintings and amateurish photographs. Human detection using Histogram of Oriented Gradients followed with Active Contour Model is experimented at the initial phase of this project. However, the results are not as good as expected thus an alternative is explored with the aid of Kinect depth sensor, which captures the depth image and turns out to be a feasible way to get the human contour after some processing. Also, two basic rendering tools, histogram equalization and contrast stretching are experimented on the extracted human object layer to achieve aesthetic image enhancement.en_US
dc.format.extent66 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen_US
dc.titleArtistic rendering of imageen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChan Kap Luken_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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