3D face recognition

This report presents a face recognition system based on 2D recognition methods and 3D face data. 2 sets of stereo cameras are used to acquire the 2D and 3D face data of a human subject. By applying 2D face detection on the images, the face was first located in the 2D domain. After mapping the 2D loc...

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Main Author: Zhao, Hainan.
Other Authors: Wang Han
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/45355
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-45355
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spelling sg-ntu-dr.10356-453552023-07-07T16:02:22Z 3D face recognition Zhao, Hainan. Wang Han School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::biometrics This report presents a face recognition system based on 2D recognition methods and 3D face data. 2 sets of stereo cameras are used to acquire the 2D and 3D face data of a human subject. By applying 2D face detection on the images, the face was first located in the 2D domain. After mapping the 2D location to 3D, 3D face points cloud are generated from each stereo camera. Then the two 3D cloud data are merged together. The orientation of the face is approximated by the relative position of the face to the two stereo cameras, and a frontal face is generated based on this approximation. And at last face recognition methods are then applied on the generated 2D image. Experimental results involving 10 persons with different facial expressions and extracted from different viewpoints have demonstrated the efficiency of our algorithm. Bachelor of Engineering 2011-06-13T02:47:31Z 2011-06-13T02:47:31Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45355 en Nanyang Technological University 64 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::biometrics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::biometrics
Zhao, Hainan.
3D face recognition
description This report presents a face recognition system based on 2D recognition methods and 3D face data. 2 sets of stereo cameras are used to acquire the 2D and 3D face data of a human subject. By applying 2D face detection on the images, the face was first located in the 2D domain. After mapping the 2D location to 3D, 3D face points cloud are generated from each stereo camera. Then the two 3D cloud data are merged together. The orientation of the face is approximated by the relative position of the face to the two stereo cameras, and a frontal face is generated based on this approximation. And at last face recognition methods are then applied on the generated 2D image. Experimental results involving 10 persons with different facial expressions and extracted from different viewpoints have demonstrated the efficiency of our algorithm.
author2 Wang Han
author_facet Wang Han
Zhao, Hainan.
format Final Year Project
author Zhao, Hainan.
author_sort Zhao, Hainan.
title 3D face recognition
title_short 3D face recognition
title_full 3D face recognition
title_fullStr 3D face recognition
title_full_unstemmed 3D face recognition
title_sort 3d face recognition
publishDate 2011
url http://hdl.handle.net/10356/45355
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