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Found 5 papers, 2 papers with code
Enhancement of 3D Camera Synthetic Training Data with Noise Models
The goal of this paper is to assess the impact of noise in 3D camera-captured data by modeling the noise of the imaging process and applying it on synthetic training data.
Supersampling of Data from Structured-light Scanner with Deep Learning
This paper focuses on increasing the resolution of depth maps obtained from 3D cameras using structured light technology.
Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning
We introduce the TriDental dataset, consisting of 3000 oral cavity images annotated with teeth keypoints, to train a teeth keypoint detection network.
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
Application of neural networks in industrial settings, such as automated factories with bin-picking solutions requires costly production of large labeled data-sets.
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans
This paper focuses on a specific task of 6D pose estimation of a bin in 3D scans.
Ranked #1 on
6D Pose Estimation
on 3D-BSLS-6D
