50 citations · 117 across the 11 of their papers we have counts for
3 papers · 1 filter
Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics
Andreas Heinecke, Emanuel Mayer, Abhinav Natarajan +1
Die analysis is an essential numismatic method, and an important tool of ancient economic history. Yet, manual die studies are too labor-intensive to comprehensively study large co…
Semantic Feature Matching for Robust Mapping in Agriculture
Mohamad Qadri, George Kantor
Visual Simultaneous Localization and Mapping (SLAM) systems are an essential component in agricultural robotics that enable autonomous navigation and the construction of accurate 3…
A Robust Illumination-Invariant Camera System for Agricultural Applications
Abhisesh Silwal, Tanvir Parhar, Francisco Yandun +1
Object detection and semantic segmentation are two of the most widely adopted deep learning algorithms in agricultural applications. One of the major sources of variability in imag…