michael goesele's homepage

Graphics, Capture and Massively Parallel Computing (GCC) | GRIS | Fachbereich Informatik (FB20) | TU Darmstadt

Ambient Point Clouds for View Interpolation

Ambient Point Clouds for View Interpolation

M. Goesele, J. Ackermann, S. Fuhrmann, C. Haubold, R. Klowsky, D. Steedly, R. Szeliski


View interpolation and image-based rendering algorithms often produce visual artifacts in regions where the 3D scene geometry is erroneous, uncertain, or incomplete. We introduce ambient point clouds constructed from colored pixels with uncertain depth, which help reduce these artifacts while providing non-photorealistic background coloring and emphasizing reconstructed 3D geometry. Ambient point clouds are created by randomly sampling colored points along the viewing rays associated with uncertain pixels. Our real-time rendering system combines these with more traditional rigid 3D point clouds and colored surface meshes obtained using multi-view stereo. Our resulting system can handle larger-range view transitions with fewer visible artifacts than previous approaches.

Literature, Movie, Data

Contact Information | © 2005-2013 Michael Goesele / TU Darmstadt