This paper presents a corpus of annotated motion events and their event structure. We consider motion events triggered by a set of motion evoking words and contemplate both litera...
Kirk Roberts, Srikanth Gullapalli, Cosmin Adrian B...
Abstract. We show how to exploit temporal periodicity of moving objects to perform 3D reconstruction. The collection of period-separated frames serve as a surrogate for multiple ri...
This paper deals with the problem of incorporating natural regularity conditions on the motion in an MAP estimator for structure and motion recovery from uncalibrated image sequen...
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Scene ow is the 3D motion eld of points in the world. Given N (N > 1) image sequences gather ed with a N-eye stereo camera or N calibrated cameras, we present a novel system wh...