3-D real-time image matching based on kinect skeleton
Jingxuan Chen, Xiaoyu Wu, Tianchu Guo · 2014
We present a 3-D real-time image matching system based on the skeleton tracking module of Kinect Sensor. To determine an optimal correspondence between real- time and standard image data, we use a dimensional angular representation as a descriptor of the skeleton designed for recognition robustness under noisy input. And we compute a distance metric to evaluate the difference in motion between the poser's body and the template. The grading formula for image matching is adaptively based on our experimental data, which makes our system, stands a high accuracy under input noise from the real-time depth sensor.