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An algorithm for creating panoramic views from sequential images using computer vision techniques such as keypoints extraction, matching, and image alignment. Made in Python along with OpenCV and NumPy.
In this assignment, we will generate panoramic images by stitching 3 images. Panoramic images will be created by using registering, warping, resampling and blending algorithms.
This project is a simple implementation of Panoramic Image Stitching using OpenCV and Python. The project is implemented using the following steps: 1. Feature Detection 2. Feature Matching 3. Homography Estimation 4. Image Warping 5. Image Blending
In this repository, an approach is implemented to automatically detect and geolocate public objects, solely based on public available panoramic images. The objects of interest are assumed to be stationary, compact and observable from several locations each. In this project the objects being detected are bicycle symbols. NOTE: Panorama API offline.
Command line Python script that 1) takes logo file, 2) converts to equirectangular image, 3) transforms to desired size, and 4) overlays on-top of an equirectangular photo as a nadir.
MSc Computer Science project. Automatically enhance CityGML LOD2 buildings with facade details, by using a panoramic image sequence and building footprint data. NOTE: Amsterdam Panorama API is currently offline.