2018
CVPR
CVPR 2018
Discovering Point Lights With Intensity Distance Fields
Abstract
We introduce the light localization problem. A scene is illuminated by a set of unobserved isotropic point lights. Given the geometry, materials, and illuminated appearance of the scene, the light localization problem is to completely recover the number, positions, and intensities of the lights. We first present a scene transform that identifies likely light positions. Based on this transform, we develop an iterative algorithm to locate remaining lights and determine all light intensities. We demonstrate the success of this method in a large set of 2D synthetic scenes, and show that it extends to 3D, in both synthetic scenes and real-world scenes.
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Interdisciplinary Bridge
— Computer Science and Computer Vision and Machine Learning and Mathematics & Optimization
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Trend Setter
— Computer Graphics
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Keyword Pioneer
— point light
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Hot Topic Early Bird
— scene reconstruction
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Machine Learning > Optimization & Theory > Optimization
Computer Vision > Analysis > 3D Vision
Computer Vision > Analysis > Scene Understanding
Mathematics & Optimization > Optimization > Continuous Optimization
Mathematics & Optimization > Optimization > Optimization
Computer Science > Applications > Computer Graphics
Computer Vision > Domain-Specific > Computer Graphics