Abstract
AbstractCapturing meaningful moments by using cameras is a major application of Augmented Reality Glasses (AR Glasses). Taking photos with head-mounted cameras of AR Glasses bring a new photo acquisition experience to users because there are no viewfinders conventional cameras have. Users may experience difficulties to figure out the region the head-mounted camera will capture on AR Glasses. To address this issue, we propose a photographic composition guide for AR Glasses. The proposed method analyzes video streams from the camera and automatically determine the image region that has a high aesthetic quality score. Photos taken from the recommended position result in a better photographic composition. Our method achieved 4.03 in Mean-Opinion-Score (MOS) test, demonstrating that our method corresponds to human’s expectation on aesthetic quality of photos.KeywordsAugmented Reality GlassesPhotographic compositionDeep neural network
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.