Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 105 tok/s
Gemini 2.5 Pro 52 tok/s Pro
GPT-5 Medium 45 tok/s
GPT-5 High 34 tok/s Pro
GPT-4o 108 tok/s
GPT OSS 120B 473 tok/s Pro
Kimi K2 218 tok/s Pro
2000 character limit reached

Geometric Optical Throughput and Etendue Revisited: Introducing the Optogeometric Factor for Pixel Level Quantitative Imaging (2508.09335v1)

Published 12 Aug 2025 in physics.optics, physics.app-ph, and physics.ins-det

Abstract: This paper formally defines optogeometric factor as a pixel level measure of geometric optical throughput. The quantity is formally defined as the surface solid angle integral of the local etendue between a pixel and its corresponding scene element. Under ideal geometric optical conditions, it can be approximated by the product of the projected pixel footprint area on the object plane and the solid angle covered by the entrance pupil. Provides a compact link between the radiance of the scene and the radiant flux collected by a single pixel, making explicit the spatial angular coupling that governs the radiometric measurements at the pixel level. Two mathematically equivalent expressions of optogeometric factor are derived: a scene based form, expressed via the footprint area and instantaneous field of view, and a sensor based form, expressed via the pixel pitch and optical f number. Their equivalence is demonstrated analytically and confirmed using representative parameters of real thermal imaging systems. The concept is extended to effective optogeometric factor, which incorporates the pixel fill factor to account for the active area of the sensor. This concept enables a clear separation of geometric optical coupling from detector design and other calibration terms, offering a physically transparent and transferable basis for quantitative thermography and other imaging modalities operating in the geometric optics regime.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube