Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.
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Updated
Sep 2, 2024 - Python
Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.
Image key points Extraction, Description, Feature Matching
Processing videos of digital electricity meter to extract readings using OpenCV and Python
Object 2D Pose Estimation trained by RGB Data - Using Intel® RealSense D435
Panorama Image Stitching Using SIFT and SURF Keypoint Descriptors
A package for registration of wide range astronomical images of stars, galaxies and clusters using SIFT, FLANN and RANSAC algorithms for extreme precision applications
Python bindings for FLANN - Fast Library for Approximate Nearest Neighbors. (With Python 3 compatibility patches)
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
This system uses computer vision to determine the rotation angle of objects on a conveyor belt, enabling integration with pick-and-place robotic systems.
This project extends "Building_Built_In_Minutes" by enhancing 3D reconstruction from 2D images using OpenCV and point cloud visualization. It refines previous methodologies, improving accuracy and workflow efficiency through advanced Structure from Motion techniques.
Collection of OpenCV computer vision exercises - feature matching (FLANN, Harris corner detection), color detection, a coin counter, and a CIFAR-10 CNN.
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