Head pose estimation by bootstrapping generalized discriminant analysis with SIFT flow alignment criterion
In supervised learning of head pose classification, uniformly distributed and labeled ground-truth of people in large quantities is required. Unfortunately, labeling is both tedious and inconsistent. As a result, the classifier could not generalize well the unseen data. To address this problem, in t...
Main Authors: | Wang, Jian-Gang., Yau, Wei-Yun., Sung, Eric. |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/102835 http://hdl.handle.net/10220/16874 |
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