Abstract

Light fields describe the amount and direction of light rays flowing through every point in space. They allow reproducing different perspectives of a captured scene or a digitized object. This is particularly beneficial for photo-realistic virtual reality scenarios. Unfortunately, practical applications are still rare, as capturing and processing of information divided up in rich angular and spatial details contained in a light field is difficult. To overcome this situation, this chapter will describe algorithms and software solutions for both sparse and dense light fields. At first, a complete pipeline from capturing and processing to rendering of light fields is described. Light field capture is performed using a custom-built camera array. A node-based processing solution in a professional post-production environment permits to steer the light field reconstruction process for best achievable quality. The result can then be integrated into a VR environment with the help of a game engine. In the second part of this chapter, possibilities of neural networks to increase achievable rendering quality or reduce processing and capturing efforts are explored in detail.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

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.