Search Results for author:
Found 9 papers, 5 papers with code
Tangent Convolutions for Dense Prediction in 3D
Our approach is based on tangent convolutions - a new construction for convolutional networks on 3D data.
Ranked #2 on
Semantic Segmentation
on S3DIS Area5
(Number of params metric)
Open3D: A Modern Library for 3D Data Processing
The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python.
Colored Point Cloud Registration Revisited
We present an algorithm for tightly aligning two colored point clouds.
Learning Compact Geometric Features
We present an approach to learning features that represent the local geometry around a point in an unstructured point cloud.
Ranked #9 on
Point Cloud Registration
on ETH (trained on 3DMatch)
Fast Global Registration
Extensive experiments demonstrate that the presented approach matches or exceeds the accuracy of state-of-the-art global registration pipelines, while being at least an order of magnitude faster.
A Large Dataset of Object Scans
We have created a dataset of more than ten thousand 3D scans of real objects.
Robust Reconstruction of Indoor Scenes
We present an approach to indoor scene reconstruction from RGB-D video.
Depth Camera Tracking With Contour Cues
We present an approach for tracking camera pose in real time given a stream of depth images.
Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras
We describe an approach for simultaneous localization and calibration of a stream of range images.
