Create panorama image using invariant features from given set of overlapping images.

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.

[ECCV'24 Oral] SPVLoc estimates 6D camera pose by matching images to semantic 3D models of indoor scenes, without scene-specific training.

This is a novel 360-degree panoramic image inpainting network using Generative Adversarial Networks(GANs).

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.

(IJCAI 2023) Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods

video2panorama is a Python-based tool designed to transform video sequences into panoramic images. It automates the stitching process by analyzing frames from input video files and producing panoramic outputs.

Convert an image to stereographic projection (Polar Coordinates)

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.

cli app to create a panoramic image from several related images.

This project extracts frames from a CCTV video only when the camera is moving, stitches them into a panorama when the camera stops, and saves each stitched image.

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

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.