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Linear Regression and Bayes Decision BoundariesOLS regression on synthetic data, computing Bayes error probability with the error function, and visualizing the Bayes decision boundary for two Gaussians.
4 min -
Backprop by Hand and CNNs on MNISTHand-computing one step of backpropagation, then iterating on CNN architectures in MATLAB until giving up and switching to Keras.
5 min -
NCC Template Matching, Stereo Depth, and KNNNCC template matching on a Simpsons scene, brute-force stereo depth from two views, and k-nearest neighbors classification.
7 min -
Camera Calibration and HomographyDLT camera calibration from 100 2D-3D correspondences and normalized DLT homography from 15 point pairs.
5 min -
Harris Corners, FAST Corners, and OpenCVHarris corner detector from scratch on a checkerboard, FAST feature detection with a Bresenham circle, and comparing both to skimage.
7 min -
Tracking Objects with Covariance and Mean-ShiftCovariance-based object matching with generalized eigenvalues, and mean-shift tracking with Epanechnikov-weighted color histograms.
7 min -
Motion History Images and Optical FlowImage differencing with morphological cleanup, MEI and MHI temporal representations, similitude moments on motion images, and Lucas-Kanade optical flow.
8 min -
Shape Moments and PCA on a Box of DotsComputing image moments from scratch, eigenanalysis of 2D data, confidence ellipses, decorrelation, and dimensionality reduction.
6 min
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