Real-world algorithm demonstration, applied to a NASA portrait.Image: NASA / Eileen Collins · scikit-image (public domain)View source ↗
Prompt
Apply ORB Keypoints as a computer-vision overlay on a subdued photograph. Distribute thin colored circles across distinctive corners and textured patches, varying circle sizes by feature scale and adding short orientation ticks. Leave smooth areas sparsely marked and preserve visible photographic detail. Keep the original subject and composition.
02ORB Keypoints, applied to “2017 Odbiornik radiowy Światowid”A vintage radio shows distributed circles over high-contrast regions. Colorful circles with orientation lines mark the corners of the tuner and control knobs, demonstrating ORB keypoint detection and orientation.Jacek Halicki (photo); processed for the Atlas · CC BY-SA 4.0 · Wikimedia Commons03ORB Keypoints, applied to “Alone in the unspoilt wilderness (Unsplash)”A mountainous landscape features clusters of circles on the rocky foreground ridges. The effect marks edges and corners in the wilderness scene, displaying the scale-aware nature of the descriptors.David Marcu davidmarcu (photo); processed for the Atlas · CC0 · Wikimedia Commons04ORB Keypoints, applied to “Golden gate of Ueno Tōshō-gū Shinto shrine, Tokyo, Japan”The golden gate of a Japanese shrine is covered in overlapping circles. Keypoints are densely identified on the intricate architectural details and shadows of the gate's ornate structure.Basile Morin (photo); processed for the Atlas · CC BY-SA 4.0 · Wikimedia Commons05ORB Keypoints, applied to “Slow Life in A Tea House 01 edited”A tea house interior with people displays numerous keypoints on high-contrast edges. The circles track the complex geometry of the wooden beams and figures sitting in the dim lighting.Original: Liming Huang
Derivative work: Radomianin (photo); processed for the Atlas · CC BY-SA 4.0 · Wikimedia Commons06ORB Keypoints, applied to “Brighton MMB 34 West Pier”Vertical pilings of a pier at dusk are marked with circular indicators. The effect identifies the sharp edges of the pillars against the sky and the reflections on the water's surface.mattbuck (category) (photo); processed for the Atlas · CC BY-SA 4.0 · Wikimedia Commons07ORB Keypoints, applied to “Los Angeles (California, USA), South Olive Street -- 2012 -- 4847”A nighttime city scene shows circles identifying points on plants and architectural lights. The keypoints are concentrated on localized bright spots and geometric transitions within the South Olive Street photo.Dietmar Rabich (photo); processed for the Atlas · CC BY-SA 4.0 · Wikimedia Commons08ORB Keypoints, applied to “Moscow July 2011-34a”A Moscow bridge and dome are analyzed with varying circle sizes. The algorithm detects features along the bridge railing and the high-contrast silhouette of the cathedral against the sky.Alvesgaspar (photo); processed for the Atlas · CC BY-SA 3.0 · Wikimedia Commons
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