Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/153870
Title: Registration of Arbitrary 3D Point Cloud Using Statistical Head Model
Authors: WANG JINGXI
Keywords: 3D Registration
Facial Feature Detection
Statistical Head Model
Issue Date: 2010
Citation: WANG JINGXI (2010). Registration of Arbitrary 3D Point Cloud Using Statistical Head Model. ScholarBank@NUS Repository.
Abstract: The standardization of arbitrary 3D head mesh is necessary for many applications. This project explores one possible standardization method which made used of traditional 3D registration techniques (i.e. the Iterative Closest Point algorithm) and a given statistical head mesh model. During the process, missing information in the original head mesh can also be recovered based on the information contained in the statistical model. The project also seeks to automate the process by using Harr-like features to detect feature points required for the initial alignment.
URI: https://scholarbank.nus.edu.sg/handle/10635/153870
Appears in Collections:Master's Theses (Restricted)

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