Abstract
Abstract. This study aims to fill a gap in existing research by focusing on the application of Neural Radiance Fields (NeRF) algorithms to cultural heritage case studies using equirectangular image data captured with 360° cameras. The main objective is to evaluate and compare the performance of various NeRF algorithms applied to equirectangular images, shedding light on their suitability for cultural heritage preservation. the experiments were carried out on the case study of the library of the seminar in Brixen (Italy). By evaluating the effectiveness of NeRF in combination with conventional photogrammetric methods, the research highlights NeRF's competence in capturing complex details and addressing the challenges encountered in fast and expeditious 3D reconstruction of heritage. The positive results manifest in precise reconstructions, affirming the potential of NeRF in promoting the accuracy and fidelity of 3D models. Despite the computational demands, the study supports further exploration of NeRF-based algorithms, highlighting advantages and some limitations.
Sign-in/Register to access full text options 
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 callMore From: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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.
