2021 International Conference on 3D Immersion (IC3D)最新文献

Color Transfer of 3D Point Clouds For XR Applications 用于XR应用的3D点云的颜色转移

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687162

Herbert Potechius, T. Sikora, S. Knorr

引用次数: 2

Accurate human body reconstruction for volumetric video 体积视频的精确人体重建

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687256

Decai Chen, Markus Worchel, I. Feldmann, O. Schreer, P. Eisert

引用次数: 2

Performance Evaluation of HDR Image Reconstruction Techniques on Light Field Images 光场图像上HDR图像重建技术的性能评价

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687182

Mary Guindy, V. K. Adhikarla, P. A. Kara, T. Balogh, Anikó Simon

{"title":"Performance Evaluation of HDR Image Reconstruction Techniques on Light Field Images","authors":"Mary Guindy, V. K. Adhikarla, P. A. Kara, T. Balogh, Anikó Simon","doi":"10.1109/IC3D53758.2021.9687182","DOIUrl":"https://doi.org/10.1109/IC3D53758.2021.9687182","url":null,"abstract":"The reconstruction of high dynamic range (HDR) images from low dynamic range (LDR) images is a challenging task. Multiple algorithms are implemented to perform the reconstruction process for HDR images and videos. These techniques include, but are not limited to reverse tone mapping, computational photography and convolutional neural networks (CNNs). From the aforementioned techniques, CNNs have proven to be the most efficient when tested against conventional 2D images and videos. However, at the time of this paper, applying such CNNs to light field contents have not yet been performed. Light field images impose more challenges and difficulties to the proposed CNNs, as there are multiple images for the creation of a single light field scene. In this paper, we test some of the existing HDR CNNs (ExpandNet, HDR-DeepCNN and DeepHDRVideo) on the Teddy light field image dataset and evaluate their performance using PSNR, SSIM and HDR-VDP 2.2.1. Our work addresses both image and video reconstruction techniques in the context of light field imaging. The results indicate that further modifications to the state-of-the-art reconstruction techniques are required to efficiently accommodate the spatial coherence in light field images.","PeriodicalId":382937,"journal":{"name":"2021 International Conference on 3D Immersion (IC3D)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126691605","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}

引用次数: 2

Multiview from micro-lens image of multi-focused plenoptic camera 多聚焦全光相机微镜头图像的多视角

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687243

Daniele Bonatto, Sarah Fachada, T. Senoh, Guotai Jiang, Xin Jin, G. Lafruit, Mehrdad Teratani

引用次数: 4

Latent Factor Modeling of Perceived Quality for Stereoscopic 3D Video Recommendation 面向立体3D视频推荐的感知质量潜在因素建模

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687271

Balasubramanyam Appina, Mansi Sharma, Santosh Kumar, P. A. Kara, Anikó Simon, Mary Guindy

{"title":"Latent Factor Modeling of Perceived Quality for Stereoscopic 3D Video Recommendation","authors":"Balasubramanyam Appina, Mansi Sharma, Santosh Kumar, P. A. Kara, Anikó Simon, Mary Guindy","doi":"10.1109/IC3D53758.2021.9687271","DOIUrl":"https://doi.org/10.1109/IC3D53758.2021.9687271","url":null,"abstract":"Numerous stereoscopic 3D movies are released every single year to movie theaters and they evidently generate large revenues. Despite the notable improvements in stereo capturing and 3D video post-production technologies, stereoscopic artefacts continue to appear even in high-budget films. Existing automatic 3D video quality measurement tools can detect distortions in stereoscopic images and videos, but they fail to determine the viewer’s subjective perception of those arte-facts, and how these distortions affect their choices and the overall visual experience. In this paper, we introduce a novel recommendation system for stereoscopic 3D movies based on a latent factor model that meticulously analyzes the viewer’s subjective ratings and the influence of 3D video distortions on their personal preferences. To the best knowledge of the authors, this is definitely a first-of-its-kind model that recommends 3D movies based on quality ratings. It takes the correlation between the viewer’s visual discomfort and the perception of stereoscopic artefacts into account. The proposed model is trained and tested on the benchmark Nama3ds1-cospad1 and LFOVIAS3DPh2 S3D video quality assessment datasets. The experiments highlight the practical efficiency and considerable performance of the resulting matrix-factorization-based recommendation system.","PeriodicalId":382937,"journal":{"name":"2021 International Conference on 3D Immersion (IC3D)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132103173","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}

引用次数: 1

Depth Image-Based Rendering of Non-Lambertian Content in MPEG Immersive Video MPEG沉浸式视频中基于深度图像的非lambertian内容渲染

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687263

Sarah Fachada, Daniele Bonatto, Yupeng Xie, Patrice Rondao-Alface, Mehrdad Teratani, G. Lafruit

引用次数: 3

[Copyright notice] (版权)

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/ic3d53758.2021.9687231

引用次数: 0

Visual Attention Analysis and User Guidance in Cinematic VR Film 电影VR电影中的视觉注意力分析与用户引导

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687294

Haoshuo Wang, Colm O. Fearghail, Emin Zerman, Karsten Braungart, A. Smolic, S. Knorr

{"title":"Visual Attention Analysis and User Guidance in Cinematic VR Film","authors":"Haoshuo Wang, Colm O. Fearghail, Emin Zerman, Karsten Braungart, A. Smolic, S. Knorr","doi":"10.1109/IC3D53758.2021.9687294","DOIUrl":"https://doi.org/10.1109/IC3D53758.2021.9687294","url":null,"abstract":"Due to the character of 360° video, it is often a challenge for filmmakers to guide the attention of users to the region of interest. Visual effects as a type of user guidance is frequently applied to traditional film. Nevertheless, the influence of visual effects in 360° video has been rarely explored. For this reason, the purpose of this paper is to study how four different visual effects, respectively Desaturation, Context-based Darkening, Area Darkening, and Object to Follow, affect visual attention of users in 360° video. Therefore, we performed a subjective test as well as analyzed the saliency maps predicted with a convolutional neural network. In the subjective test, 15 participants were requested to watch four 360° videos, which were implemented with visual effects, while the position of their viewport was recorded. The results of this work are compared to earlier research on the same videos without visual effects. We show that Area Darkening has the best effect on guiding the visual attention, Context-based Darkening makes the best contribution on enhancing the saliency of the region of interest, while Desaturation has nearly no effect for user guidance and does not change the saliency of the videos. A Logo as Object to Follow create a new salient area, while the predicted saliency of areas apart from the Logo remains the same.","PeriodicalId":382937,"journal":{"name":"2021 International Conference on 3D Immersion (IC3D)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122260882","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}

引用次数: 1

3D location estimation of light sources in room-scale scenes 房间尺度场景中光源的三维位置估计

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687218

Lucas Pometti, Matthieu Fradet, P. Hirtzlin, Pierrick Jouet

{"title":"3D location estimation of light sources in room-scale scenes","authors":"Lucas Pometti, Matthieu Fradet, P. Hirtzlin, Pierrick Jouet","doi":"10.1109/IC3D53758.2021.9687218","DOIUrl":"https://doi.org/10.1109/IC3D53758.2021.9687218","url":null,"abstract":"In this paper we present our on-going work on light source estimation in room-scale scenes for more photorealistic experiences. Our unique input is an up-to-date textured 3D mesh of a real uncontrolled environment obtained using a consumer mobile device. We base our approach on the detection of real shadows in a single RGB-D image rendered for a top viewpoint. Contrary to prior art, our approach does not consider any object-based segmentation, neither simplifying assumptions on the scene geometry or on poorly textured surfaces. The 3D locations of light sources are automatically estimated, and for now, the lighting model is completed with intensity values obtained interactively through a GUI displaying augmentations on the scanned scene. This lighting model can then be reused to light the MR scene coherently during mobile experiences. Results on various indoor and outdoor scenes show the beginnings of a promising work. To illustrate the complexity of the problem and to make the community aware of the importance of a correct lighting on user perception, we also fairly show how slightly inaccurate light estimation results or incomplete geometry knowledge can go completely unnoticed in some simple cases but can also deeply impact the final rendering photorealism in some other cases.","PeriodicalId":382937,"journal":{"name":"2021 International Conference on 3D Immersion (IC3D)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132709699","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}

引用次数: 0

Simulation of Pan-Tilt-Zoom Tracking for Augmented Reality Air Traffic Control 增强现实空中交通管制泛倾斜变焦跟踪仿真

2021 International Conference on 3D Immersion (IC3D) Pub Date : 2021-12-08 DOI: 10.1109/IC3D53758.2021.9687257

Charles Hamesse, B. Pairet, Rihab Lahouli, Timothée Fréville, R. Haelterman

引用次数: 1