Stereoscopic Visual System for 2D to 3D Conversion System

In this paper, we proposed a stereoscopic visual system for 2D to 3D conversion system. The multi-view perspectives are captured around a scene by camera array at the same time, and multi-view images can not only keep two dimensions information but also have the depth architecture of a scene. According to the multi-view information, we reconstructed stereoscopic visual system for 2D to 3D conversion system. We utilize the vanishing point detection and color image segmentation technique to find the objects and deepest point (i.e. vanishing point) in the image, and then we assign depth value by comparing the vanishing point of object with image. After depth map generation, we propose the Vivid-DIBR system to imitate how human eyes see things.