Multiple Color and Depth Video Coding Using a Hierarchical Representation

Yoon, Seung-Uk; Ho, Yo‐Sung

doi:10.1109/tcsvt.2007.905363

Cited by 41 publications

(3 citation statements)

References 18 publications

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“…27 This idea has been demonstrated in the layered depth image, which is possible to detect occlusion and interpolate the image pixels in rendering. 28 An object-based scalable rendering method with much less computational complexity is proposed in this paper.…”

Section: Object-based Scalable Renderingmentioning

confidence: 99%

Object-based depth image–based rendering for a three-dimensional video system by color-correction optimization

Shao

Jiang

et al. 2011

Opt. Eng

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Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 05/15/2015 Terms of Use: http://spiedl.org/termsAbstract. Three-dimensional (3-D) video technologies are becoming increasingly popular because they can provide high quality and immersive experience to end users. Depth image-based rendering (DIBR) is a key technology in 3-D video systems due to its low bandwidth cost as well as the arbitrary rendering viewpoint. We propose an object-based DIBR method by color-correction optimization. The proposed method first performs temporal consistent rendering to reduce the rendering complexity. Then, by segmenting the depth map into foreground and background, the object-based scalable rendering is performed to improve the rendering quality and reduce the rendering complexity. Finally, the rendered virtual view is further optimized by color-correction operation. Experimental results show that, compared to the results without the above optimization operations, the proposed method can reduce >40% computational complexity while maintaining high rendering quality. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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Section: Object-based Scalable Renderingmentioning

confidence: 99%

Object-based depth image–based rendering for a three-dimensional video system by color-correction optimization

Shao

Jiang

et al. 2011

Opt. Eng

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“…As general 2D to 3D image conversion cannot depend on depth estimation with multiple cameras or a priori provided depth maps, depth has to be computed from a single view. Not any more complex multi-dimensional information just as that from the LDI format [19] can be utilized, so it is harder to deal with the problems mentioned above. This paper expects that only a texture image and its corresponding depth map image, which has been generated with some depth cues, are given.…”

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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“…But when the distance between reference view and virtual view increases, the disocclusion problem will become so severe that the above mentioned methods cannot give comfortable restore result. Another approach [10] can obtain excellent rendering effect by utilizing Layered-depth-image (LDI) [11] as input, which consists of a number of color layers and its associated depth layers. However, the procedure of creating LDI is computationally complex and quite time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Multiview virtual image synthesis for auto-stereoscopic display based on two views

Wang

Yang

et al. 2012

2012 International Conference on Systems and Informatics (ICSAI2012)

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In this paper, an efficient depth image based view rendering method for high quality multiview virtual images synthesis is proposed, which utilizes two color images with their associated depth maps. The proposed method consists of four main steps. The first step is virtual camera parameters design by using shift-sensor camera model to avoid the keystone distortion. Secondly, the mixed color pixels around the boundary of image objects is detected and skipped in the following rendering step, which can eliminate the "ghost" artifacts. Then the two input color images are rendered to multiple virtual view positions on the basis of depth-image-based rendering (DIBR) and merged into one image. Finally, an oriented exemplar-based inpainting algorithm is proposed to fill the disoccluded areas. Experiment results are shown to demonstrate the superior performance of the proposed method compared to other traditional DIBR methods.

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Multiple Color and Depth Video Coding Using a Hierarchical Representation

Cited by 41 publications

References 18 publications

Object-based depth image–based rendering for a three-dimensional video system by color-correction optimization

Object-based depth image–based rendering for a three-dimensional video system by color-correction optimization

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

Multiview virtual image synthesis for auto-stereoscopic display based on two views

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