Abstract. A correspondence and camera error analysis for dense correspondence applications such as structure from motion is introduced. This provides error introspection, opening u...
Daniel Knoblauch, Mauricio Hess-Flores, Mark A. Du...
The problem of inferring 3D orientation of a camera from video sequences has been mostly addressed by first computing correspondences of image features. This intermediate step is ...
This paper describes a novel approach for recovering the structure and motion of a rigid textured surface from an image sequence. Camera focal length is also recovered, yielding m...