Vivid-DIBR Based 2D–3D Image Conversion System for 3D Display

The multi-view perspectives are captured around a scene by camera array at the same time, and multi-view images cannot only keep two dimensions information but also has the depth architecture of a scene. Most of 3D displays support the multi-view contents, while there is a bottleneck of the 3D TV system to broadcast the larger storage and bandwidth for enduser. For saving bandwidth, a new TV broadcasting channel transfers third dimensional information, i.e., depth map has been utilized. The 3D display renders intermediate image and a depth map to form different views, as well as synthesizes these images into one image; this technology is the renowned Depth Image Based Rendering (DIBR). In other words, any 2D content can be transformed into multi-view images according to their corresponding depth map. Our system processes 2D images to capture a depth map of the intermediate view image during 3D contents capturing. In this paper, 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. On the other hand, this system solves the holes (warping error points) problem by redistributing corresponding depth map. The design aims to convert 2D images into multi-view images which will be suitable for any interlacing 3D display by adjusting the focal plane location.