Análisis comparativo de las técnicas SURF y ORB para la detección de puntos de interés en fotografías aéreas
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This project is part of a research developed, within the image processing and pattern recognition seedbed Lún the University of Ibagué, with the goal of evaluating detection and description of interest points techniques to register visible and near infrared aerial photographs. These pictures were acquired by the International Center for Tropical Agriculture "CIAT". The evaluated techniques are two recently published methods: "Speeded Up Robust Features", known as SURF, and "Oriented FAST and Rotated BRIEF", known by its acronym ORB, with the purpose of finding interest points employed as reference to merge them. Both methods were studied and a comparative analysis was carried out to determine which one is the most appropriate to merge this kind of images. In addition, Gabor filters were employed to find texture descriptors in the images, finding that entropy provides the best result.