Image-Based Rendering from Uncalibrated Lightfields with Scalable Geometry

  • Authors:
  • Reinhard Koch;Benno Heigl;Marc Pollefeys

  • Affiliations:
  • -;-;-

  • Venue:
  • Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

We combine uncalibrated Structure-from-Motion, lightfield rendering and view-dependent texture mapping to model and render scenes from a set of images that are acquired from an uncalibrated hand-held video camera. The camera is simply moved by hand around the 3D scene of interest. The intrinsic camera parameters like focal length and the camera positions are automatically calibrated with a Structure-From-Motion approach. Dense and accurate depth maps for each camera viewpoint are computed with multi-viewpoint stereoscopic matching. The set of images, their calibration parameters and the depth maps are then utilized for depth-compensated image-based rendering. The rendering utilizes a scalable geometric approximation that is tailored to the needs of the rendering hardware.