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Recently, through development of several 3d vision
systems, widely used in various applications, medical and
biometric fields. Microsoft kinect sensor have been most of used
camera among 3d vision systems. Microsoft kinect sensor can
obtain depth images of a scene and 3d coordinates of human joints.
Thus, anthropometric features can extractable easily.
Anthropometric feature and 3d joint coordinate raw datas which
captured from kinect sensor is unstable. The strongest reason for
this, datas vary by distance between joints of individual and
location of kinect sensor. Consequently, usage of this datas without
kinect calibration and data optimization does not result in
sufficient and healthy. In this study, proposed a novel method to
calibrating kinect sensor and optimizing skeleton features. Results
indicate that the proposed method is quite effective and worthy of
further study in more general scenarios.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Mahmut Selman Gökmen
Mehmet Akbaba
Oğuz Findik