An Attempt to Classify Low Resolution Head Pose Images Using Extended Local Binary Pattern

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概要

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• This paper describes the attempt to use extended Local Binary Pattern (E-LBP) to extract both texture and edge features for low resolution head pose classification. Gradient magnitude (GM) descriptor and texture (TX) descriptor are extracted using E-LBP and trained by a multi-class Support vector Machine (SVM). Experimental results demonstrate that the combination of both GM and TX descriptor could achieve a higher accuracy rate compared to previous methods.

• 2013-07-25

著者

• AKIMOTO Youhei

  信州大学

• TANAKA Kiyoshi

  信州大学

• AGUIRRE Hernan

  信州大学

• LEE Sue

  信州大学

関連論文

• A Preliminary Study on Asian Male Face Classification Based on Personal Attractive Preference
• An Attempt to Classify Low Resolution Head Pose Images Using Extended Local Binary Pattern

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