The Extracting Method from a Single Picture at 3-D Space by Using Defocusing Estimation

Abstract

The diverse broadcast means that will be available in the future will cause an increased demand for pro-grams. When the input of the posture of an agent is used to manipulate a virtual computer graphics actor, it is better if the system does not require a special studio and devices.
In the present paper, we propose a way to extract images from a single picture based on estimates of blooming. This is done using a partial auto-correlation analysis that carries out backward and forward pre-dictions simultaneously. And, we divide targets into the stratified depth from a single image. An experiment was conducted using a picture taken with a digital camera, and satisfactory results were obtained.