6D pose estimation pipelines that rely on RGB-only or RGB-D data show
li...
This paper addresses the limitations of current datasets for 3D vision t...
Learning-based methods to solve dense 3D vision problems typically train...
Estimating the 6D pose of objects is one of the major fields in 3D compu...
Depth estimation is a core task in 3D computer vision. Recent methods
in...
In this work we present a platform to assess robot platform skills using...
Learnable keypoint detectors and descriptors are beginning to outperform...
Light has many properties that can be passively measured by vision senso...
Inferring geometrically consistent dense 3D scenes across a tuple of
tem...
Feature based visual odometry and SLAM methods require accurate and fast...
Tracking of rotation and translation of medical instruments plays a
subs...