We present a pose estimation method for rigid
objects from single range images. Using 3D models of the
objects, many pose hypotheses are compared in a data-parallel
version of t...
In Kyu Park, Marcel Germann, Michael D. Breitenste...
We consider the problem of grasping novel objects, specifically ones that are being seen for the first time through vision. Grasping a previously unknown object, one for which a 3...
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...
This paper presents a new system for acquiring complete 3D surface models using a single structured light projector, a pair of planar mirrors, and one or more synchronized cameras...
Douglas Lanman, Daniel E. Crispell, Gabriel Taubin
Traditional Shape-from-Shading (SFS) techniques aim to solve an under-constrained problem: estimating depth map from one single image. The results are usually brittle from real im...