In this paper, we disregard all depth and color information and train a CNN to directly regress 6DoF object poses using only synthetic single channel edge ...

In this paper, we present a CNN based approach for direct 6DoF pose estimation of arbitrary objects using single one-channel images. Using the pencil filter ...

In this paper, we disregard all depth and color information and train a CNN to directly regress 6DoF object poses using only synthetic single channel edge ...

Jul 26, 2018 · In this paper, we disregard all depth and color information and train a CNN to directly regress 6DoF object poses using only synthetic single ...

To the best of our knowledge, our work is the first attempt to estimate 6DoF object poses from an RGB image without using 3D pose annotations and depth images ...

A curated list of related resources for 6D object pose estimation, also including 3D objects reconstruction from a single view, and 3D hand-object pose ...

In this paper, our method consists of estimating the 6-DoF pose of an object based on a single RGB/RGB-D image. This method's general framework is displayed in ...

The procedure uses an introduced deception network that modifies input images while still preserving their geometrical meaning. The task network is trained ...

Feb 7, 2024 · The model demonstrates the feasibility of deep learning for pose estimation by directly regressing the orientation and position of RGB images.