Bop: Benchmark for 6d object pose estimation
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 …
image. The training data consists of a texture-mapped 3D object model or images of the …
Efficient center voting for object detection and 6D pose estimation in 3D point cloud
J Guo, X ** methods for 3D rigid data matching
Seeking consistent point-to-point correspondences between 3D rigid data (point clouds,
meshes, or depth maps) is a fundamental problem in 3D computer vision. While a number of …
meshes, or depth maps) is a fundamental problem in 3D computer vision. While a number of …
Evaluating local geometric feature representations for 3D rigid data matching
Local geometric descriptors act as an essential component for 3D rigid data matching. A
rotational invariant local geometric descriptor usually consists of two components: local …
rotational invariant local geometric descriptor usually consists of two components: local …
BRoPH: An efficient and compact binary descriptor for 3D point clouds
Y Zou, X Wang, T Zhang, B Liang, J Song, H Liu - Pattern Recognition, 2018 - Elsevier
Abstract 3D feature descriptor plays an essential role in 3D computer vision as it is a pre-
requisite step for many 3D vision applications. Despite there exists many 3D feature …
requisite step for many 3D vision applications. Despite there exists many 3D feature …
Pose tracking of spacecraft based on point cloud DCA features
Y He, J Yang, K **ao, C Sun, J Chen - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
As a key on-orbit service technology, relative measurement of non-cooperative spatial
targets can give accurate relative pose for the unmanned rendezvous and docking of non …
targets can give accurate relative pose for the unmanned rendezvous and docking of non …