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Simulated Holoscopic 3D Images Dataset

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posted on 2024-05-17, 13:35 authored by Bodor Almatrouk, Hongying MengHongying Meng, Rafiq (Mohammad) SwashRafiq (Mohammad) Swash

This dataset contains a collection of 24 holoscopic images, capturing scenes with varying levels of Visual Parallax Information (VPI) and Edge Information (EI) at different scales. Holoscopic imaging technology offers a unique perspective, allowing for a comprehensive view of a scene with depth information.

Content

24 Holoscopic Images: The dataset includes a diverse set of holoscopic images, each showcasing different scenes and compositions.

Varying Levels of VPI and EI: Some images exhibit distinct scales of Visual Parallax Information and Edge Information, providing a range of visual features for analysis and experimentation.

Usage

Researchers and practitioners interested in holoscopic imaging, computer vision, depth perception, and related fields can utilize this dataset for various purposes, including:

• Experimentation with depth perception algorithms.

• Analysis of visual features in holoscopic images.

• Training and evaluation of machine learning models for scene understanding and depth estimation.

• Development of novel applications leveraging holoscopic imaging technology.

Citation

If you use this dataset in your research or work, please cite it as follows:

@inproceedings{almatrouk2023new,

title={A New Raw Holoscopic Image Simulator and Data Generation},

author={Almatrouk, Bodor and Meng, Hongying and Aondoakaa, Akuha and Swash, Rafiq},

booktitle={2023 8th International Conference on Image, Vision and Computing (ICIVC)},

pages={489--494},

year={2023},

organization={IEEE}

}

Contact

For any questions, comments, or inquiries regarding the dataset, please contact b.almatrouk@hotmail.com. We welcome feedback and suggestions for improvements.

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