[CT404]: Week 8 lecture materials + notes(?)
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@ -2047,5 +2047,9 @@ The \textbf{Tomasi-Kanade/Shi-Tomasi detector} finds pixel values with large ``c
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A \textbf{feature descriptor} characterises detected features in a way that can be used for comparison across images.
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These include: SIFT features, GLOH (Gradient Location \& Histogram), HOG (Histogram of Gradients), etc.
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\section{Segmentation \& Model Fitting}
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\textbf{Image segmentation} is a bottom-up process that groups pixels in an image based on their low-level properties such as colour or texture.
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\end{document}
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