Computational 3D vision concerns algorithms and sensor systems that infer three-dimensional structure, motion, and semantics from visual and related signals. Methods span monocular and multi-view 3D reconstruction, depth estimation, inverse rendering, and 4D scene capture, often integrating LiDAR, radar, infrared, and event or neuromorphic sensors. Deep learning architectures and data-driven simulation play central roles in segmentation, pose estimation, anomaly detection, and novel view synthesis, enabling robust perception, mapping, and editing of complex environments for robotics, autonomous systems, and immersive displays.
Hi Tech & Innovation
As artificial intelligence technologies become increasingly widespread, the growing demand for processing power and energy is emerging as a global challenge. Assistant professor Uğur Teğin from Koç University's Department ...
Oct 10, 2026
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Security
Driver-assistance systems are now installed in nearly all modern cars. As a result, safety depends on whether computer systems can reliably process sensor data. Researchers at the Technical University of Munich (TUM) are ...
Oct 8, 2026
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Engineering
A new technology has been developed that can rapidly predict city-scale structural damage even when portions of satellite imagery are obscured by clouds or smoke immediately after a disaster.
Oct 7, 2026
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Engineering
A person wearing bulky goggles, turning awkwardly in circles and reaching out to grab something that isn't there—that is the image many of us have of virtual reality, and one that researchers at Kyushu University want to ...
Oct 6, 2026
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Hi Tech & Innovation
Many of today's self-driving cars "see" the road through two senses at once. Cameras capture color, texture and the outline of a pedestrian, while light detection and ranging (LiDAR) fires laser pulses to measure exactly ...
Oct 6, 2026
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Machine learning & AI
Our eyes do not always tell us exactly where things are—and that may be a feature of how biological vision works, rather than simply a flaw. A new study by York University researchers uses a common illusion to ask: If artificial ...
Oct 2, 2026
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Engineering
Researchers from the Brown University School of Engineering have developed a new imaging system that can see and track moving objects in partially opaque environments like dense fog or muddy water.
Oct 2, 2026
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Computer Sciences
Interactions between humans and dogs involve a continuous exchange of physical and verbal cues. A person may pet a dog, use a hand gesture, give a verbal command or call the pet from a distance, prompting changes in the dog's ...
Oct 2, 2026
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Consumer & Gadgets
From our smartphones to advanced industrial systems, cameras have become an integral part of modern life. Conventional cameras capture scenes as a sequence of frames at fixed time intervals. In contrast, event cameras detect ...
Oct 1, 2026
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10
Robotics
For a service robot moving through an office, recognizing "furniture" is useful. When the robot has to plan a route or interact with objects, it also needs finer detail, such as whether that furniture is a chair, table or ...
Sep 30, 2026
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