Reproduce “Noctif3R: Feed-Forward Monocular Real-Time SLAM for Photon-Limited Scenes on Embedded Hardware” on OpenResearch
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About this paper
Mihir Chauhan, Aditya Uday Abhang, Kevin Biju Mathew, Aniket Bera
NOCTIF3R estimates motion from a single RGB camera and withholds poses when image correspondences fail reciprocal-validity and confidence checks. In synthetic photon-floor tests, it tracked three cells and loudly failed six, with no silent failures under the every-eighth-frame protocol; on chapel at −10 dB, its error was 23.95% of the no-information ceiling. These still and video results do not establish navigation.
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