PDF] Maximum Detector Response Markers for SIFT and SURF | Semantic Scholar
PDF] Maximum Detector Response Markers for SIFT and SURF | Semantic Scholar
Applied Sciences | Free Full-Text | Research on Image Matching of Improved SIFT Algorithm Based on Stability Factor and Feature Descriptor Simplification
A shape-free, designable 6-DoF marker tracking method for camera-based interaction in mobile environment
Local Image Features — Object Recognition Lecture
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Proposal of an Encoded Marker for Working Robots: An Encoded Marker Easy to Detect in Various Positions and under Blur - KOBORI - 2017 - Electronics and Communications in Japan - Wiley Online Library
Detect scale invariant feature transform (SIFT) features - MATLAB detectSIFTFeatures
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Ewelina Rupnik on Twitter: "We use SIFT and SuperGlue (SG) in our experiments. SIFT is not invariant to time->fails to recover reliable matches. SG works relatively good on “upright” images but provides
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Proposal of an Encoded Marker for Working Robots: An Encoded Marker Easy to Detect in Various Positions and under Blur - KOBORI - 2017 - Electronics and Communications in Japan - Wiley Online Library
Our SIFT (left) and SURF markers. | Download Scientific Diagram