Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.
-
Updated
Jan 15, 2023 - Python
Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.
Image key points Extraction, Description, Feature Matching
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
Panorama Image Stitching Using SIFT and SURF Keypoint Descriptors
Python bindings for FLANN - Fast Library for Approximate Nearest Neighbors. (With Python 3 compatibility patches)
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
Add a description, image, and links to the flann topic page so that developers can more easily learn about it.
To associate your repository with the flann topic, visit your repo's landing page and select "manage topics."