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CornersRansac
Corner Detection;Corner Detection: Analyzing Gradient Covariance;Contents;Harris Detector: Mathematics;Harris Detector: Mathematics;Harris Detector: Mathematics;Harris Detector: Mathematics;Harris Detector: Mathematics;Harris Detector: Mathematics;Harris Detector;Harris Detector: Workflow;Harris Detector: Workflow;Harris Detector: Workflow;Harris Detector: Workflow;Harris Detector: Workflow;Example: Gradient Covariances;Example: Corner Detection (for camera calibration);Example: Corner Detection;Harris Detector: Summary;Contents;Tracking: compression of video information;One More..;Harris Detector: Some Properties;Harris Detector: Some Properties;Harris Detector: Some Properties;Harris Detector: Some Properties;Contents;We want to:;Models of Image Change;Contents;Rotation Invariant Detection;Contents;Scale Invariant Detection;Scale Invariant Detection;Scale Invariant Detection;Scale Invariant Detection;Characteristic Scale;Scale Invariant Detection;Scale Invariant Detection;Build Scale-Space Pyramid;Key point localization;Scale Invariant Detectors;Normal, Gaussian..;Harris-Laplacian;Scale Invariant Detectors;Scale Invariant Detection: Summary;Contents;Affine Invariant Detection;Affine Invariant Detection;Affine Invariant Detection;Affine Invariant Detection : Summary;Contents;Point Descriptors;Contents;Descriptors Invariant to Rotation;Descriptors Invariant to Rotation;Contents;Descriptors Invariant to Scale;Contents;Affine Invariant Descriptors;Affine Invariant Descriptors;RANSAC;The Problem with Outliers;Robust Estimation;RANSAC (RANdom SAmple Consensus);RANSAC: Picking the Distance Threshold t;The Algorithm;How Many Samples?;RANSAC: How many samples?;RANSAC: Computed N (p = 0.99) ;Example: N for the line-fitting problem;RANSAC: Determining N adaptively;After RANSAC;Applications of RANSAC: Solution for affine parameters;Another app. : Automatic Homography H Estimation
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