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.
Engineering
Researchers have developed a motion-compensation method that allows single-pixel imaging to capture sharp images of complex dynamic scenes. The new approach could expand the practical utility of this computational imaging ...
Sep 10, 2025
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Engineering
To shed new light on the contribution of different brain regions and neural circuits to specific mental functions, neuroscientists and medical researchers rely on advanced imaging techniques and neural probes. These are electronic ...
Machine learning & AI
Today's AI vision is effective at recognizing simple images in isolation—such as buildings, cars, and people. But when it's called upon to identify more complex terrain, its accuracy becomes questionable. This is one of ...
Sep 8, 2025
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Hi Tech & Innovation
From creating art and writing code to drafting emails and designing new drugs, generative AI tools are becoming increasingly indispensable for both business and personal use. As demand increases, they will require even more ...
Hi Tech & Innovation
Research conducted at the University of Vaasa paves the way for smart packaging that indicates product condition through color-changing printing inks. Doctoral researcher Jari Isohanni investigated how machine learning could ...
Aug 27, 2025
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Computer Sciences
A novel algorithmic system that works subtly in the background to mutual benefit, and adapts quickly to local conditions, could be useful in data processing where noise terms can be replaced with useful estimates of their ...
Aug 25, 2025
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Computer Sciences
Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images. These tools have proved useful for a broad range of applications, including robotics, autonomous driving, ...
Consumer & Gadgets
Researchers at UNIST have developed an innovative AI technology capable of reconstructing highly detailed three-dimensional (3D) models of companion animals from a single photograph, enabling realistic animations. This breakthrough ...
Aug 19, 2025
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Computer Sciences
Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google came up with Mediapipe, ...
Engineering
Imagine trying to make an accurate three-dimensional model of a building using only pictures taken from different angles—but you're not sure where or how far away all the cameras were. Our big human brains can fill in a ...
Aug 6, 2025
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