VFX Atlas
M 012 / 18301 Edge & Featuresalgorithm output

Harris Corner Detection

edge & feature detection

Typeface · Inconsolata

Real-world algorithm demonstration, applied to a NASA portrait.
Real-world algorithm demonstration, applied to a NASA portrait.Image: NASA / Eileen Collins · scikit-image (public domain)View source ↗

Prompt

Apply Harris Corner Detection as a technical overlay on the photograph, marking sharp junctions and two-direction brightness changes with tiny vivid red dots. Cluster markers around angular details and textured intersections, leaving smooth surfaces and simple uninterrupted edges mostly unmarked. Keep the original subject and composition.

Paste it into LetzAI with your own image to apply the effect ↗

Identify

Key points appear as colored corner points1.

Principle

The local gradient matrix2 evaluates prominent points in two directions.

Try it out

Test architecture instead of a portrait.

Classification

Calculated image processing result.

Further examples · 7 images

Scikit-image CornerDetection
02 Scikit-image CornerDetectionA black field contains white geometric shapes including diamonds, squares, and an ellipse. Red crosshairs mark the vertices, demonstrating the algorithm's precision in identifying points where image intensity changes in multiple directions.MTheiler · CC BY-SA 4.0 · Wikimedia Commons
Harris corners detected on chessboard
03 Harris corners detected on chessboardA chessboard pattern is displayed with red circular markers placed on the intersections. It demonstrates the algorithm's ability to identify discrete points where local intensity changes significantly in two directions.Brian moore81 · CC BY-SA 4.0 · Wikimedia Commons
Writing Desk with Harris Detector
04 Writing Desk with Harris DetectorA black and white image of a desk is compared to a version where yellow circles mark detected corners. The visualization illustrates how the algorithm identifies high-intensity gradients in multiple directions to locate points of interest.Writing_desk.jpg: Dvortygirl derivative work: Kleliboux (talk) · CC BY-SA 3.0 · Wikimedia Commons
Harris Corner Detection, applied to “Courtyard Zappeion Athens, Greece”
05 Harris Corner Detection, applied to “Courtyard Zappeion Athens, Greece”Red markers highlight the Zappeion courtyard's columns, roofline, and checkered floor. The algorithm identifies intersection points where the image gradient changes significantly in multiple directions.Jebulon (photo); processed for the Atlas · CC0 · Wikimedia Commons
Harris Corner Detection, applied to “Ponte Vasco da Gama 25”
06 Harris Corner Detection, applied to “Ponte Vasco da Gama 25”Points appear on the structural junctions and pylon tops of the Vasco da Gama bridge. The effect successfully isolates corners despite the low-contrast fog surrounding the architecture.F Mira from Lisbon, Portugal (photo); processed for the Atlas · CC BY-SA 2.0 · Wikimedia Commons
Harris Corner Detection, applied to “Stanford Oval May 2011 panorama”
07 Harris Corner Detection, applied to “Stanford Oval May 2011 panorama”A panorama of the Stanford campus shows red markers along window corners and roof edges. These detected features correspond to areas with high intensity variation in two dimensions.King of Hearts (photo); processed for the Atlas · CC BY-SA 3.0 · Wikimedia Commons