Campus, helmet-held 360 camera

3D Model

This model is best viewed by selecting the first person mode in navigation setting and slow speed (eg 0 or 1) and navigating at the neighborhood of the series of small gray cones. It is computed from a video pair taken by a helmet-held 360 camera (Garmin Virb) and by biking during 25 minutes in a campus (les Cézeaux, Aubière, France). The cones indicate locations of the camera.

See also a fully textured version (with higher resolution) for several VR headsets at https://maximelhuillier.fr

The main steps of the reconstruction method are in my publications: self-calibration (3DV‘15, CVIU‘17), structure-from-motion (BMVC‘07, IVC‘09), surface reconstruction (CVIU‘18 improved by IC3D‘19), curves are matched (PAMI‘02) and integrated in the surface, texturing (IC3D‘20).

The original textures are divided by 3 and stored in five 4k texture images. The surface is simplified (edge collapses). The multi-camera model is non-central and global shutter.