Exploring Planar Object Tracking Using Sift Features And Homography Estimation
Exploring Planar Object Tracking Using Sift Features And Homography Estimation reveals several interesting facts.
- 4 classes, both described by 800 descriptors
- This video is part of the Udacity course "Computational Photography". Watch the full course at ...
- ... of a
- First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science ...
- 4 different classes (shown above) detected on a video #1. Each model is trained from several images (15-40), where the most ...
In-Depth Information on Planar Object Tracking Using Sift Features And Homography Estimation
Demo of a very simple SIFT features ICRA 2018 Spotlight Video Interactive Session Tue AM Pod L.4 Authors: Liang, Pengpeng; Wu, Yifan; Lu, Hu; Wang, Liming; Liao, ... 4 classes, both described by 800 descriptors
4 different classes (shown above) detected on a video #2. Each model is trained from several images (15-40), where the most ...
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