Determining eye gaze in still images
It will be shown how the gaze direction can be derived from a still gray-scale image. A low-resolution eye image is captured and processed to remove unwanted data. Simple vision algorithms like morphological operations, edge detection and contrast processing are used.
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2008
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sg-ntu-dr.10356-45672023-07-04T15:09:22Z Determining eye gaze in still images Lee, Chin Wee. Wan, Chunru School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems It will be shown how the gaze direction can be derived from a still gray-scale image. A low-resolution eye image is captured and processed to remove unwanted data. Simple vision algorithms like morphological operations, edge detection and contrast processing are used. Master of Science (Signal Processing) 2008-09-17T09:54:26Z 2008-09-17T09:54:26Z 2004 2004 Thesis http://hdl.handle.net/10356/4567 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Lee, Chin Wee. Determining eye gaze in still images |
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It will be shown how the gaze direction can be derived from a still gray-scale image. A low-resolution eye image is captured and processed to remove unwanted data. Simple vision algorithms like morphological operations, edge detection and contrast processing are used. |
author2 |
Wan, Chunru |
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Wan, Chunru Lee, Chin Wee. |
format |
Theses and Dissertations |
author |
Lee, Chin Wee. |
author_sort |
Lee, Chin Wee. |
title |
Determining eye gaze in still images |
title_short |
Determining eye gaze in still images |
title_full |
Determining eye gaze in still images |
title_fullStr |
Determining eye gaze in still images |
title_full_unstemmed |
Determining eye gaze in still images |
title_sort |
determining eye gaze in still images |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4567 |
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1772825478955008000 |