Abstract
Holographic display has the potential to be utilized in many 3D application scenarios because it provides all the depth cues that human eyes can perceive. However, the shortage of 3D content has limited the application of holographic 3D displays. To enrich 3D content for holographic display, a 2D to 3D rendering approach is presented. In this method, 2D images are firstly classified into three categories, including distant view images, perspective view images and close-up images. For each category, the computer-generated depth map (CGDM) is calculated using a corresponding gradient model. The resulting CGDMs are applied in a layer-based holographic algorithm to obtain computer-generated holograms (CGHs). The correctly reconstructed region of the image changes with the reconstruction distance, providing a natural 3D display effect. The realistic 3D effect makes the proposed approach can be applied in many applications, such as education, navigation, and health sciences in the future.
Highlights
Holography is a technology which can build mathematical and physical connections between targets and holographic fringes
Adoption of holographic 3D displays is inhibited by the dearth of rich 3D content
We successfully demonstrate a layer-based holographic algorithm by applying 2D images to a 2D-to-3D rendering approach
Summary
Holography is a technology which can build mathematical and physical connections between targets and holographic fringes. The first type is a 2D image with a large shooting distance These images are often captured outdoors, and typically present the sky, land areas, and water bodies. Because the vanishing point of a distant view image is always located on the borderline between the sky and other physical elements, the CGDM is calculated using a cumulative horizontal edge histogram [37]. In this model, the sky is assumed to be infinitely far from the observer. As the distant view image appears far-to-near, extraction of the vanishing point and vanishing lines is unnecessary in the cumulative horizontal edge histogram
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