17 citations · 17 across the 1 of their papers we have counts for
3 papers
cs.CV2020★ 17 cited
DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Wentao Yuan, Ben Eckart, Kihwan Kim +3
Point cloud registration is a fundamental problem in 3D computer vision, graphics and robotics. For the last few decades, existing registration algorithms have struggled in situati…
cs.CV2018
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data
Ben Eckart, Kihwan Kim, Jan Kautz
We present an iterative overlap estimation technique to augment existing point cloud registration algorithms that can achieve high performance in difficult real-world situations wh…
cs.CV2018
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures
Ben Eckart, Kihwan Kim, Jan Kautz
Point cloud registration sits at the core of many important and challenging 3D perception problems including autonomous navigation, SLAM, object/scene recognition, and augmented re…