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Image Processing, Feature Detection, Stereo, and CNN

Computer Vision

Computer Vision 2022

Applied Gaussian filters and gradients to determine edges and used Hough transforms for line detection. Implemented Harris corner detection and Multi-Scale Oriented Patching to describe features. Given an image subject to various known lightings, determined albedos and normal directions along the surface using photometric stereo. Given images from different viewpoints, created a depth map using plane-sweep stereo. Using convolutional neural networks, ran basic image classification.

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