A method for semantic keypoint detection is described. The method includes linking, using a keypoint graph neural network (KGNN), semantic keypoints of an object within a first image of a video stream into a 2D graph structure corresponding to a category of the object. The method also includes embedding descriptors within the semantic keypoints of the 2D graph structure corresponding to the category of the object. The method further includes tracking the object within subsequent images of the video stream using the embedded descriptors within the semantic keypoints of the 2D graph structure corresponding to the category of the object.
END-TO-END MONOCULAR 2D SEMANTIC KEYPOINT DETECTOR AND TRACKER LEARNING
04.08.2022
Patent
Elektronische Ressource
Englisch
IPC: | G06K Erkennen von Daten , RECOGNITION OF DATA / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
MONOCULAR 2D SEMANTIC KEYPOINT DETECTION AND TRACKING
Europäisches Patentamt | 2023
|Self-supervised 3D keypoint learning for monocular visual odometry
Europäisches Patentamt | 2024
|SELF-SUPERVISED 3D KEYPOINT LEARNING FOR MONOCULAR VISUAL ODOMETRY
Europäisches Patentamt | 2021
|Multiframe detector/tracker: optimal performance
IEEE | 2001
|