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. The surface is simplified (edge collapses). The multi-camera model is non-central and global shutter.

Here is an image of the input video