3D Object Recognition From Video

Faculty: Kostas Daniilidis

We extract object silhouettes from
video by an integration of feature tracking, motion grouping
of tracks, and co-segmentation of successive frames. Subsequently,
the object masks from the video are matched to
3D model silhouettes in a robust matching and alignment
phase. The result is a matching score for every 3D model
to the video, along with a pose alignment of the model to
the video.