3 papers
cs.CV2019
Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
Alexander Mai, Joseph Menke, Allen Yang
Image space feature detection is the act of selecting points or parts of an image that are easy to distinguish from the surrounding image region. By combining a repeatable point de…
cs.HC2019
Improving Usability, Efficiency, and Safety of UAV Path Planning through a Virtual Reality Interface
Jesse Paterson, Jiwoong Han, Tom Cheng +4
As the capability and complexity of UAVs continue to increase, the human-robot interface community has a responsibility to design better ways of specifying the complex 3D flight pa…
cs.CV2018
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks
Zhang Qianhao, Alexander Mai, Joseph Menke +1
In visual Simultaneous Localization And Mapping (SLAM), detecting loop closures has been an important but difficult task. Currently, most solutions are based on the bag-of-words ap…