CVMar 31, 2022

Casual 6-DoF: free-viewpoint panorama using a handheld 360 camera

arXiv:2203.16756v117 citations
Originality Incremental advance
AI Analysis

This work addresses the need for easier and faster 6-DoF video capture for casual users, representing an incremental improvement over existing image-based rendering methods.

The paper tackles the problem of creating six degrees-of-freedom (6-DoF) video from 360° panoramas to enable free-viewpoint movement in captured scenes, achieving better visual quality and robustness compared to state-of-the-art methods in various environments.

Six degrees-of-freedom (6-DoF) video provides telepresence by enabling users to move around in the captured scene with a wide field of regard. Compared to methods requiring sophisticated camera setups, the image-based rendering method based on photogrammetry can work with images captured with any poses, which is more suitable for casual users. However, existing image-based rendering methods are based on perspective images. When used to reconstruct 6-DoF views, it often requires capturing hundreds of images, making data capture a tedious and time-consuming process. In contrast to traditional perspective images, 360° images capture the entire surrounding view in a single shot, thus, providing a faster capturing process for 6-DoF view reconstruction. This paper presents a novel method to provide 6-DoF experiences over a wide area using an unstructured collection of 360° panoramas captured by a conventional 360° camera. Our method consists of 360° data capturing, novel depth estimation to produce a high-quality spherical depth panorama, and high-fidelity free-viewpoint generation. We compared our method against state-of-the-art methods, using data captured in various environments. Our method shows better visual quality and robustness in the tested scenes.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes