Wrist point and arm point extraction method based on depth camera

The invention relates to a wrist point and arm point extraction method based on a depth camera, applied to the fields of virtual reality and augmented reality. Segmenting hand areas according to color images and depth maps collected by a Kinect depth camera, and palm point three-dimensional positions provided by an OpenNI/NITE (open type natural interactive API); extracting accurate hand areas by a Bayesian skin color model, and extracting wrist points and arm points in a vision method; and designing a plurality of man-machine interaction gestures based on the extracted wrist points and arm points and palm points provided by an NITE bank. Since the Kinect depth camera comes out, many researchers have utilized the Kinect depth camera to do research on gesture identification, however, researches based on wrists and arms are very few, and methods of extracting the wrist points and arm points based on a vision method are rare. The wrist point and arm point extraction method of the invention has a small calculated quantity, is simple to operate, and can timely, stably and accurately extract the wrist points and arm points.