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| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-09-06 16:41:55 -0700 |
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| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-09-06 16:41:55 -0700 |
| commit | 6af39548a765109ca94ac8162eec1aee7828b8c3 (patch) | |
| tree | 856565c933f8cbd80fd6d2f547e524114e0dcde4 /related.tex | |
| parent | bd894794b31290499656e67eb0c81bbed4bcbf56 (diff) | |
| download | kinect-6af39548a765109ca94ac8162eec1aee7828b8c3.tar.gz | |
minor updates
Diffstat (limited to 'related.tex')
| -rw-r--r-- | related.tex | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/related.tex b/related.tex index a7fd7e3..1ac25d9 100644 --- a/related.tex +++ b/related.tex @@ -30,12 +30,12 @@ image~\cite{gait-body1,gait-body2}. Furthermore, behavioral traits typically are more characteristic as opposed to unique, and are subject to change with time and based on the observed activity~\cite{gait-survey2}. -On the other hand, face recognition, as a physiological biometric, is a more -static feature. Face recognition can be broken down into three parts: face -detection, feature extraction, and classification; these three parts are -studied both individually and together~\cite{face-survey}. The Xbox 360 uses -face recognition with the Kinect as part of its user recognition algorithm, in -addition to the height inferred from the Kinect~\cite{kinect-identity}. +Face recognition, as a physiological biometric, is a more static feature. Face +recognition can be broken down into three parts: face detection, feature +extraction, and classification; these three parts are studied both individually +and combined~\cite{face-survey}. The Xbox 360 uses face recognition with the +Kinect as part of its user recognition algorithm, in addition to the height +inferred from the Kinect~\cite{kinect-identity}. In this paper, we propose using skeleton measurements as a biometric separate from face and gait biometrics. According to Jain~\etal{}~\cite{bio-survey}, a |