Implementation of Panorama stitching using ORB feature matching, and RANSAC for homography estimation, and stitching using Image pyramids.
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Updated
Mar 18, 2021 - Python
Implementation of Panorama stitching using ORB feature matching, and RANSAC for homography estimation, and stitching using Image pyramids.
Segregates images using feature extraction and Clustering algorithm
Utilized OpenCV, ORBDescriptors, FLANN, Homography/Affine Transformations, and a multi-layer convolutional architecture to do direct image matching via feature and key-point matching for scale-variant images
Using features-matching algorithm for tracking object
Object recognition with 3 differents descriptors: ORB, HOG and SIFT. Using the library OpenCV
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