Webapplication for image stitching and aligning
Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV
Feature Detection and Description with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK using Python and OpenCV
AI first development pipeline. One binary. Twelve agents. Zero guesswork.
SFM, from Data collection to 3D model
KazeMatching
Malaria Detection Project on Malaria Cells
Comparative Evaluation of Feature Descriptors Through Bag of Visual Features with Multilayer Perceptron on Embedded GPU System, published in 17th IEEE Latin American Robotics Symposium/8th Brazilian Symposium of Robotics (LARS/SBR 2020)
Forensic footwear print image classifier using Bag of Visual Words, SIFT/KAZE descriptors, KMeans, and scikit-learn.
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