Image Stitching
Year: 2017
Introduction
Image stitching is a process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image
‘This is a project in the Digital Visual Effects course
Developed with MATLAB
Team project (2 people)
My Contribution
Took photos in different locations
Developed and implemented the algorithm with MATLAB
Development
MATLAB
Photos we captured
Panorama results using Image Stitching Algorithm
Steps
Step1: Image Capture
Capture multiple images of a scene with overlapping regions from different angles or positions
Step2: Image Warping
The images are warped into cylindrical coordinates to adjust for the distortions
Step3: Feature Detection
After warping, we implemented an algorithm to identify distinct features in each image. These features include points, edges, or unique patterns that are crucial for alignment
Step4: Feature Matching
The identified features are matched between different images. This matching is critical for determining how the images align and overlap
Step5: Image Stitching
Combine multiple overlapping images into a single, seamless panoramic image by aligning and blending the individual images.