Motion depth generation using MHI for 2D‐to‐3D video conversion

Gil, Jong In; Kim, M.

doi:10.1049/el.2017.1505

Cited by 2 publications

(2 citation statements)

References 7 publications

(7 reference statements)

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“…2D-to-3D rendering provides an alternative option to enrich 3D content. Various features, including edge [22,23], texture [22,24], color [25], and motion [24,26], have been used to calculate computer-generated depth maps (CGDMs) from 2D images. However, a 2D-to-3D rendering approach that uses only one of these features may not be widely applicable.…”

Section: Introductionmentioning

confidence: 99%

Holographic 3D Display Using Depth Maps Generated by 2D-to-3D Rendering Approach

Sui

Cao

2021

Applied Sciences

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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.

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Section: Introductionmentioning

confidence: 99%

Holographic 3D Display Using Depth Maps Generated by 2D-to-3D Rendering Approach

Sui

Cao

2021

Applied Sciences

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“…Compared with a passive stereo camera method, a depth camera can deal with complex conditions more effectively. In another solution, the depth camera is substituted by a 2D to 3D converter, where depth information is obtained from a monoscopic frame sequence with computer vision algorithms [4]. This solution does not need the depth camera.…”

Section: Introductionmentioning

confidence: 99%

A Robust Depth Image Based Rendering Scheme for Stereoscopic View Synthesis with Adaptive Domain Transform Based Filtering Framework

Liu

Tang

Ding

et al. 2018

IEICE Trans. Inf. & Syst.

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Depth image based rendering (DIBR), which is utilized to render virtual views with a color image and the corresponding depth map, is one of the key procedures in the 2D to 3D conversion process. However, some troubling problems, such as depth edge misalignment, disocclusion occurrences and cracks at resampling, still exist in current DIBR systems. To solve these problems, in this paper, we present a robust depth image based rendering scheme for stereoscopic view synthesis. The cores of the proposed scheme are two depth map filters which share a common domain transform based filtering framework. As a first step, a filter of this framework is carried out to realize texture-depth boundary alignments and directional disocclusion reduction smoothing simultaneously. Then after depth map 3D warping, another adaptive filter is used on the warped depth maps with delivered scene gradient structures to further diminish the remaining cracks and noises. Finally, with the optimized depth map of the virtual view, backward texture warping is adopted to retrieve the final texture virtual view. The proposed scheme enables to yield visually satisfactory results for high quality 2D to 3D conversion. Experimental results demonstrate the excellent performances of the proposed approach. key words: depth image-based rendering, domain transform, adaptive smoothing, stereoscopic image generation

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Motion depth generation using MHI for 2D‐to‐3D video conversion

Cited by 2 publications

References 7 publications

Holographic 3D Display Using Depth Maps Generated by 2D-to-3D Rendering Approach

Holographic 3D Display Using Depth Maps Generated by 2D-to-3D Rendering Approach

A Robust Depth Image Based Rendering Scheme for Stereoscopic View Synthesis with Adaptive Domain Transform Based Filtering Framework

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