Pub Date : 2014-12-01DOI: 10.1109/IC3D.2014.7032599
P. Vandewalle, C. Varekamp
While a wide range of disparity estimation algorithms exists, only few methods are available to analyze the quality of a disparity map. We present a new two-dimensional approach to disparity map evaluation using the stereo matching error and the temporal error. These measures give a good indication of stereo or multi-view performance on a 3D display. Results are illustrated on a ground truth disparity map with multiple distortions as well as on a commercially available disparity estimator using varying post-processing settings on a real stereoscopic video sequence.
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Pub Date : 2014-12-01DOI: 10.1109/IC3D.2014.7032595
Xia Hua, Jinjie Xu, X. Ji, Feng Yan, Zhan Ma, Xun Cao
Depth-Image-Based Rendering (DIBR) is a technique which utilizes 2D texture images and corresponding depth maps to synthesize stereoscopic views. However, it could introduce the hole artifacts that heavily degrades the rendered quality of 3D video. In this paper, a content-adaptive Depth-Video-Based Rendering (DVBR) method is proposed to eliminate the hole artifacts that are caused by quantization and occlusion/disocclusion. For the tiny holes raised by quantization error, we adopt image inpaiting technique. For the large holes due to the occlusion problem in stereopsis, we fill the hole use of the temporal correlation. Experimental results show that the proposed DVBR method improved spatial quality and eliminates the temporal artifacts by the content-adaptive hole-filling schemes, resulting in better visual quality for the rendered 3D video, which leads to better visual quality for the rendered 3D video.
基于深度图像的渲染(deep - image - based Rendering, DIBR)是一种利用二维纹理图像和相应的深度图合成立体视图的技术。然而，它可能会引入孔洞伪影，严重降低3D视频的渲染质量。本文提出了一种基于内容自适应深度视频的图像绘制(DVBR)方法，以消除量化和遮挡/去遮挡引起的空洞伪影。对于量化误差产生的小孔，我们采用了图像绘制技术。对于立体视觉中由于遮挡问题而产生的大孔洞，我们利用时间相关来填充孔洞。实验结果表明，所提出的DVBR方法通过内容自适应的补孔方案，提高了空间质量，消除了时间伪影，使渲染后的3D视频具有更好的视觉质量，从而使渲染后的3D视频具有更好的视觉质量。
{"title":"Adaptive 3D content generation via depth video based rendering","authors":"Xia Hua, Jinjie Xu, X. Ji, Feng Yan, Zhan Ma, Xun Cao","doi":"10.1109/IC3D.2014.7032595","DOIUrl":"https://doi.org/10.1109/IC3D.2014.7032595","url":null,"abstract":"Depth-Image-Based Rendering (DIBR) is a technique which utilizes 2D texture images and corresponding depth maps to synthesize stereoscopic views. However, it could introduce the hole artifacts that heavily degrades the rendered quality of 3D video. In this paper, a content-adaptive Depth-Video-Based Rendering (DVBR) method is proposed to eliminate the hole artifacts that are caused by quantization and occlusion/disocclusion. For the tiny holes raised by quantization error, we adopt image inpaiting technique. For the large holes due to the occlusion problem in stereopsis, we fill the hole use of the temporal correlation. Experimental results show that the proposed DVBR method improved spatial quality and eliminates the temporal artifacts by the content-adaptive hole-filling schemes, resulting in better visual quality for the rendered 3D video, which leads to better visual quality for the rendered 3D video.","PeriodicalId":244221,"journal":{"name":"2014 International Conference on 3D Imaging (IC3D)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114345466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1109/IC3D.2014.7032573
Gustavo Eggert Boehs, M. Vieira
The number of products capable of displaying stereoscopic (also known as 3D) images has been growing in recent years. The use of this technology has outgrown the silver screen and is now available in televisions, computers, tablets, and even cell phones. Due to its nature, content created for stereoscopic media requires attention in relation to some characteristics not present in the context of monoscopic media. With a focus on image creation, the objective of this research was to assess how different stereoscopic image generation methods can affect human perception. To achieve this a virtual environment was created and from it different videos were generated using various methods including converging cameras, parallel cameras, and depth image-based rendering (DIBR). These videos were shown to participants who assessed the picture quality, depth quality, and visual comfort of the media. It was found that there was very little difference between the perception of images generated by parallel and convergent cameras, while there was a substantial difference in terms of perception between these two types of image and DIBR images. Such results can significantly affect the choice of technology for stereoscopic image generation, influencing the production costs, the methods involved, and human and machine time consumption.
{"title":"Stereoscopic image quality in virtual environments","authors":"Gustavo Eggert Boehs, M. Vieira","doi":"10.1109/IC3D.2014.7032573","DOIUrl":"https://doi.org/10.1109/IC3D.2014.7032573","url":null,"abstract":"The number of products capable of displaying stereoscopic (also known as 3D) images has been growing in recent years. The use of this technology has outgrown the silver screen and is now available in televisions, computers, tablets, and even cell phones. Due to its nature, content created for stereoscopic media requires attention in relation to some characteristics not present in the context of monoscopic media. With a focus on image creation, the objective of this research was to assess how different stereoscopic image generation methods can affect human perception. To achieve this a virtual environment was created and from it different videos were generated using various methods including converging cameras, parallel cameras, and depth image-based rendering (DIBR). These videos were shown to participants who assessed the picture quality, depth quality, and visual comfort of the media. It was found that there was very little difference between the perception of images generated by parallel and convergent cameras, while there was a substantial difference in terms of perception between these two types of image and DIBR images. Such results can significantly affect the choice of technology for stereoscopic image generation, influencing the production costs, the methods involved, and human and machine time consumption.","PeriodicalId":244221,"journal":{"name":"2014 International Conference on 3D Imaging (IC3D)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128593626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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