Structure from motion (SfM) is a computational method in computer vision for reconstructing 3D structure and camera motion from a set of overlapping 2D images acquired from different viewpoints. SfM jointly estimates camera parameters (extrinsics and intrinsics, when needed) and sparse or dense 3D point clouds by detecting and matching features across images, initializing a projective reconstruction, and refining it via bundle adjustment to minimize reprojection error. The process typically includes outlier rejection (e.g., RANSAC-based epipolar filtering), incremental or global registration of views, and optional integration with multi-view stereo for dense surface reconstruction, enabling metrically accurate scene models under appropriate calibration and scale constraints.
Indoor farms, also known as vertical farms, are popular among agricultural researchers and are expanding across the agricultural industry. Some benefits they have over outdoor farms include the year-round production of food ...
Biotechnology
Feb 25, 2026
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Imagine you're all alone, driving along in a rocky, unforgiving desert with no roads, no map, no GPS, and no more than one phone call a day for someone to inform you exactly where you are. That's what NASA's Perseverance ...
Space Exploration
Feb 18, 2026
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118
The highest rock wall in the Alps—the Monte Rosa East Face on the border between Italy and Switzerland—has for the first time been surveyed three-dimensionally with high precision. An international research team from the ...
Earth Sciences
Sep 24, 2025
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56
A team from the Hebrew University of Jerusalem has developed a low-cost, non-invasive method to estimate total leaf area in dwarf tomato plants using 3D reconstruction from standard video footage. The study applies structure-from-motion ...
Biotechnology
Jul 30, 2025
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23
A research group at Chuo University, Japan, led by Assistant Professor Kou Li (Faculty of Science and Engineering), in collaboration with National Institute of Informatics, have developed a novel non-destructive inspection ...
Optics & Photonics
Feb 28, 2024
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