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Forest 2, helmet-held 360 camera
3D Model

Avatar of flymax63
Maxime Lhuillier
pro
1.2k
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Triangles: 2.1M
Vertices: 1.1M
More model information

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 small gray cones. It is computed from a video pair taken by a helmet-held 360 camera (Garmin Virb) and by walking during 12 minutes in a wood. The cones indicate locations and FoV of the camera.

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

The 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). See also https://youtu.be/iZjuVDj6Jh4

The original textures are divided by 4. The surface is simplified (edge collapses). The calibration is non-central and global shutter.

Here is an image of the input video

Published 3 years ago
May 8th 2020
  • Nature & plants 3D Models
  • Places & travel 3D Models
  • tree
  • forest
  • vegetation
  • trunk
  • omnidirectional
  • immersive
  • 360-camera
  • photogrammetry
  • scan

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