We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input
image. The training data consists of a texture-mapped 3D object model or images of the …

Recently, the advancement of 3D point clouds in deep learning has attracted intensive
research in different application domains such as computer vision and robotic tasks …

Recently, deep neural networks achieved state-of-the-art results in the subject of 6D object
pose estimation for robot manipulation. However, those deep learning methods require …

A method for estimating a pose of an object includes: receiving, by a processor, an observed
image depicting the object from a viewpoint; computing, by the processor, an instance …

Recently developed deep neural networks achieved state-of-the-art results in the subject of
6D object pose estimation for robot manipulation. However, those supervised deep learning …

With the help of the recent advances in 3D reconstruction algorithms, 3D scan geometry and
scene understanding are getting popularity. Due to the noisy and incomplete nature of the …