Abstract:
Disclosed is an apparatus for hand gesture recognition based on a depth image, which includes a depth image acquiring unit configured to acquire a depth image including a hand region, a depth point classifying unit configured to classify depth points of a hand region in the depth image according to a corresponding hand portion by means of a machine studying method, and a hand model matching unit configured to match a three-dimensional hand model with the classified depth points by using distances between the classified depth points and a hand portion respectively corresponding to the depth points. A recognition method using the apparatus is also disclosed.
Abstract:
Facial expressions and whole-body gestures of a 3D character are provided based on facial expressions of a user and gestures of a hand puppet perceived using a depth camera.
Abstract:
Disclosed is a device for extracting depth information using infrared light which can be provided at low cost in such a way to apply a nonlinear crystal and a photonic crystal to a depth camera and comprises infrared light emission unit which emits a first infrared light toward a subject; a wavelength conversion unit which concerts the first infrared light reflected from the subject into a second infrared light having a wavelength shorter than the wavelength of the first infrared light; and depth information extraction unit which detects the converted second infrared light and extracts depth information of the subject, wherein the wavelength conversion unit is formed of a crystal capable of concerting the length of the wavelength. The wavelength conversion unit is formed of a crystal which is capable of converting the length of wavelength.