A package for registration of wide range astronomical images of stars, galaxies and clusters using SIFT, FLANN and RANSAC algorithms for extreme precision applications
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Updated
Feb 23, 2023 - Python
A package for registration of wide range astronomical images of stars, galaxies and clusters using SIFT, FLANN and RANSAC algorithms for extreme precision applications
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
Panorama Image Stitching Using SIFT and SURF Keypoint Descriptors
Python bindings for FLANN - Fast Library for Approximate Nearest Neighbors. (With Python 3 compatibility patches)
Object 2D Pose Estimation trained by RGB Data - Using Intel® RealSense D435
Processing videos of digital electricity meter to extract readings using OpenCV and Python
Image key points Extraction, Description, Feature Matching
Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.
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