Presentation
Vision, Imaging, and Simulation for Heat and Light
DescriptionThis 105-minute course explores how heat and light work together across Vision, Imaging, and Simulation. These phenomena are fundamentally coupled — absorbed light heats materials, while hot objects radiate thermal energy as infrared light — yet computer vision and imaging typically ignore heat, while engineering focuses only on thermal effects without considering light.
We show how accounting for both heat and light opens new possibilities. Measuring absorbed light intensity enables solving image analysis problems that were previously impossible. Heat flow patterns reveal object shapes. Multi-spectral thermal cameras can separate what objects reflect versus what they emit. These applications rely on thermal cameras that operate fundamentally differently from visible light cameras — using bolometric rather than photoelectric sensing — creating unique challenges in motion deblurring and noise modeling that we address.
These new vision and imaging capabilities demand equally novel simulation tools. The simulation component introduces Monte Carlo methods for thermal phenomena, showing how walk-on-spheres algorithms enable grid-free heat conduction simulation on complex geometry. These methods work together to handle both light and heat processes, enabling complete thermal simulation with potential applications in hardware design, synthetic dataset generation, and real-world scene analysis.
This course targets computer vision, graphics, and imaging researchers wanting to work beyond visible light. Participants will learn basic theory and practical techniques for heat-light interactions, understanding state-of-the-art developments and opening new research directions at the intersection of thermal vision, imaging, and physics-based simulation.
We show how accounting for both heat and light opens new possibilities. Measuring absorbed light intensity enables solving image analysis problems that were previously impossible. Heat flow patterns reveal object shapes. Multi-spectral thermal cameras can separate what objects reflect versus what they emit. These applications rely on thermal cameras that operate fundamentally differently from visible light cameras — using bolometric rather than photoelectric sensing — creating unique challenges in motion deblurring and noise modeling that we address.
These new vision and imaging capabilities demand equally novel simulation tools. The simulation component introduces Monte Carlo methods for thermal phenomena, showing how walk-on-spheres algorithms enable grid-free heat conduction simulation on complex geometry. These methods work together to handle both light and heat processes, enabling complete thermal simulation with potential applications in hardware design, synthetic dataset generation, and real-world scene analysis.
This course targets computer vision, graphics, and imaging researchers wanting to work beyond visible light. Participants will learn basic theory and practical techniques for heat-light interactions, understanding state-of-the-art developments and opening new research directions at the intersection of thermal vision, imaging, and physics-based simulation.
Event Type
Courses
TimeMonday, 15 December 20254:00pm - 5:45pm HKT
LocationMeeting Room S422, Level 4
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