Guided matching based on statistical optical flow for fast and robust correspondence analysis J Maier, M Humenberger, M Murschitz, O Zendel, M Vincze European Conference on Computer Vision, 101-117, 2016 | 41 | 2016 |
Movement detection based on dense optical flow for unmanned aerial vehicles J Maier, M Humenberger International Journal of Advanced Robotic Systems 10 (2), 146, 2013 | 29 | 2013 |
Ground Truth Accuracy and Performance of the Matching Pipeline J Maier, M Humenberger, O Zendel, M Vincze Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 9 | 2017 |
Distortion compensation for movement detection based on dense optical flow J Maier, K Ambrosch International Symposium on Visual Computing, 168-179, 2011 | 8 | 2011 |
Optimization of the Relative Stereo Pose Estimation Pipeline J Maier Wien, 2021 | | 2021 |
Evaluations on Matching Quality for 8 different Algorithms over various Inlier Ratios J Maier, M Humenberger, M Murschitz, O Zendel, M Vincze | | |
Evaluations on Precision of the SOF Estimation & Filtering Step to select the threshold for ϕe J Maier, M Humenberger, M Murschitz, O Zendel, M Vincze | | |
Evaluations on Processing Time J Maier, M Humenberger, M Murschitz, O Zendel, M Vincze | | |
Varying Inlier Ratio vs. Statistics of the Inlier Ratio Tendency Factor ϕe J Maier, M Humenberger, M Murschitz, O Zendel, M Vincze | | |