5 papers
HOnnotate: A method for 3D Annotation of Hand and Object Poses
Shreyas Hampali, Mahdi Rad, Markus Oberweger +1
We propose a method for annotating images of a hand manipulating an object with the 3D poses of both the hand and the object, together with a dataset created using this method. Our…
Generalized Feedback Loop for Joint Hand-Object Pose Estimation
Markus Oberweger, Paul Wohlhart, Vincent Lepetit
We propose an approach to estimating the 3D pose of a hand, possibly handling an object, given a depth image. We show that we can correct the mistakes made by a Convolutional Neura…
Domain Transfer for 3D Pose Estimation from Color Images without Manual Annotations
Mahdi Rad, Markus Oberweger, Vincent Lepetit
We introduce a novel learning method for 3D pose estimation from color images. While acquiring annotations for color images is a difficult task, our approach circumvents this probl…
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation
Markus Oberweger, Mahdi Rad, Vincent Lepetit
We introduce a novel method for robust and accurate 3D object pose estimation from a single color image under large occlusions. Following recent approaches, we first predict the 2D…
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
Markus Oberweger, Vincent Lepetit
DeepPrior is a simple approach based on Deep Learning that predicts the joint 3D locations of a hand given a depth map. Since its publication early 2015, it has been outperformed b…