Revealing Subtle Heat Flows
all around us
using Microbolometric Videos

Mani Ramanagopal· Akihiko Oharazawa· Sriram Narayanan· Zeqing Yuan· Srinivasa Narasimhan

IEEE International Conference on Computational Photography (ICCP) 2026
Carnegie Mellon University

TL;DR — Low-cost thermal cameras have a reputation for being noisy and are presumed to be insufficient to capture subtle heat transport. We upend this conventional wisdom by a simple change in how we process microbolometric videos. Based on the physics of image formation in microbolometers, we show that first applying per-pixel 1D temporal transform (using a shift-invariant, linear phase, compact support filter) and then spatially denoising in the coefficient domain enables extracting rich spatiotemporal heat flows with existing low-cost hardware.

Experimental Results 🔥 more scenes cooking

Scene 1 Bunny Wind Draft
Temporal Pixel Plot
Scene 2 Yoda's Eyes
Temporal Pixel Plot
Scene 3 Book & Keyboard
Temporal Pixel Plot
Scene 4 Vehicle Exhaust
Temporal Pixel Plot
Scene 6 Rotating Polarizer
Temporal Pixel Plot
Scene 7 Bandpass LWIR Filters
Temporal Pixel Plot

Poster

BibTeX

@inproceedings{ramanagopal2026revealingsubtleheat, title = {Revealing Subtle Heat Flows all around us using Microbolometric Videos}, author = {Ramanagopal, Mani and Oharazawa, Akihiko and Narayanan, Sriram and Yuan, Zeqing and Narasimhan, Srinivasa}, booktitle = {IEEE International Conference on Computational Photography (ICCP)}, year = {2026} }