For a camera moving through the environment we frequently wish to track particular world points from one frame to the next. We’ll do a quick introduction to the very large field of feature detection and matching using Harris corner features.
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Let’s recap the important points from the topics we have covered in advanced image processing.
When matching points between scenes with large different viewpoints we need to account for varying image size and rotation. SIFT features are a powerful way to achieve this.
We use MATLAB and some Toolbox functions to find corresponding points between two images using SURF features.
We summarise the important points from this lecture.