Article ; Online: VR Training System to Help Improve Photography Skills
Applied Sciences, Vol 13, Iss 7817, p
2023 Volume 7817
Abstract: People aspiring to enhance their photography skills face multiple challenges, such as finding subjects and understanding camera-specific parameters. To address this, we present the VR Photo Training System. This system allows users to practice ... ...
Abstract | People aspiring to enhance their photography skills face multiple challenges, such as finding subjects and understanding camera-specific parameters. To address this, we present the VR Photo Training System. This system allows users to practice photography in a virtual space and provides feedback on user-taken photos using machine-learning models. These models, trained on datasets from the virtual environment, evaluate the aesthetics, composition, and color of photos. The system also includes a feature offering composition advice, which further aids in skill development. The evaluation and recommendation functions of our system have shown sufficient accuracy, proving its effectiveness for photography training. |
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Keywords | virtual reality ; self-training system for photography ; aesthetic assessment ; composition assessment and recommendation ; deep learning ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999 |
Language | English |
Publishing date | 2023-07-01T00:00:00Z |
Publisher | MDPI AG |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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