dc.contributor.authorDao, Nguyen Luc
dc.description.abstractHuman body measurements are important information in many industries such as clothing, entertainment and healthcare. The development of commodity depth camera, especially Microsoft Kinect has paved a new way for human body measurement. The existing Kinect based body measurement methods are too time-consuming since their purposes also include 3D reconstruction. In this report, we present a Kinect-based simple but fast and effective solution that is tailored only for human body measurement. In particular, our method captures four views of a subject’s body and constructs a 3D point cloud for each view. The point clouds are then registered and merged to have a full body cloud. Three cloud based measurement methods are proposed including interactive circular measurement, interactive straight measurement and automatic circular measurement. To conduct the experiments, we implemented an application following our proposed method. The experimental results show that our method requires much shorter execution time than the previous works while still producing measurements with comparable quality.en_US
dc.format.extent56 p.en_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.titleFast human body measurement based on a single kinecten_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorCai Jianfeien_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US

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