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Automatic calibration of 3D human faces

Authors: Fangzhao Li; Chao Lai; Shiyao Jin; Yuxing Peng 0001;

Automatic calibration of 3D human faces

Abstract

This paper presents a method for correcting the posture of 3D face with unknown position and posture based on the standard face pose. We define a standard posture of face which is not affected by the head gesture. Then the algorithms of principal component analysis and iterative closest point are used to achieve the preliminary adjustment of the target model. For the precise calibration, we use the method of depth values iterative searching to find the point of nose precisely, and propose an algorithm of searching along a straight line to find the ridge line of nose. Ultimately we determine the difference between the posture of the target model and standard posture to obtain accurate calculation of the target model posture.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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