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Proceedings ArticleDOI

A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural Scenes

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TLDR
This work proposes to make publicly available to the research community, a diversified database of Stereoscopic 3D HDR images and videos, captured within the beautiful campus of Indian Institute of Technology, Madras, which is blessed with rich flora and fauna, and is home to several rare wildlife species.
Abstract
The consumer market of High Dynamic Range (HDR) displays and cameras is blooming rapidly with the advent of 3D video and display technologies. Specialised agencies like Moving Picture Experts Group and International Telecommunication Union are demanding the standardization of latest display advancements. Lack of sufficient experimental data is a major bottleneck for the development of preliminary research efforts in 3D HDR video technology. We propose to make publicly available to the research community, a diversified database of Stereoscopic 3D HDR images and videos, captured within the beautiful campus of Indian Institute of Technology, Madras, which is blessed with rich flora and fauna, and is home to several rare wildlife species. Further, we have described the procedure of capturing, aligning, calibrating and post-processing of 3D images and videos. We have discussed research opportunities and challenges, and the potential use cases of HDR stereo 3D applications and depth-from-HDR aspects.

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Citations
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Journal ArticleDOI

MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications

TL;DR: In this article , a dual-encoder single-decoder CNN with different weights for feature fusion is proposed for depth estimation of multi-exposure stereo image sequences in 3D HDR video content.
Journal ArticleDOI

2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation

TL;DR: The depth estimation problem is revisits, avoiding the explicit stereo matching step using a simple two-tower convolutional neural network, and the proposed algorithm is entitled 2T-UNet, which surpasses state-of-the-art monocular and stereo depth estimation methods on the challenging Scene dataset.
Journal ArticleDOI

A High Resolution Multi-exposure Stereoscopic Image & Video Database of Natural Scenes

TL;DR: A diversified stereoscopic multi-exposure dataset captured within the campus of Indian Institute of Technology Madras, which is home to a diverse fauna and fauna is introduced and accommodates wide depth range, complex depth structure, complicate object movement, illumination variations, rich color dynamics, texture discrepancy.
References
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Journal ArticleDOI

Three-Dimensional Video Postproduction and Processing

TL;DR: This paper gives an overview of the state-of-the-art in 3-D video postproduction and processing as well as an outlook to remaining challenges and opportunities.
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