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...

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Bibliographic Details
Main Authors: Wang, Jian-Gang., Yau, Wei-Yun., Sung, Eric.
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/102835
http://hdl.handle.net/10220/16874
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Institution: Nanyang Technological University
Language: English