An improved approach for depth data based face pose estimation using particle swarm optimization
This paper presents an improved approach for face pose estimation based on depth data using particle swarm optimization (PSO). In this approach, the frontal face of the system-user is first initialized and its depth image is taken as a person-specific template. Each query face of that user is rotate...
Main Authors: | , |
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Other Authors: | |
Format: | Conference Paper |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/106043 http://hdl.handle.net/10220/26272 http://dx.doi.org/10.5220/0004732305340541 |