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2020-456 Passive 3D Shape via Polarization-Aware Neural Networks

SUMMARYUCLA researchers in the Department of Electrical Engineering and Computer Science have developed an algorithm to take image data and generate accurate 3D shape representations using a deep neural network framework. The method uses data from polarization imaging to generate 3D models that are less sensitive to noise and that are five times more...

Published: 11/15/2024 | Inventor(s): Achuta Kadambi, Alex Gilbert, Franklin Wang, Yunhao Ba

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Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Materials > Fabrication Technologies, Mechanical > Robotics