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Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation

CVPR 2023 · Probabilistic and scientific modeling › Molecules and proteins · approach: Flow matching generative modeling · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace ARMS multi-scale averaging with TEG belief propagation using a smoothness priorIncremental event-based full optical flow estimation · MVSEC indoor flying1, indoor flying2, indoor flying3, outdoor day1AEE: 1.71 -> 1.14; 2.67 -> 1.87; 2.28 -> 1.54; 2.64 -> 1.46Helped
Replace ARMS multi-scale averaging with TEG belief propagation using a smoothness priorIncremental event-based full optical flow estimation · MVSEC indoor flying1, indoor flying2, indoor flying3, outdoor day1% Out: 12.7 -> 6.25; 26.6 -> 16.4; 21.6 -> 11.8; 25.7 -> 11.1Helped
Replace ARMS multi-scale averaging with TEG belief propagation using a smoothness priorIncremental event-based full optical flow estimation · DSEC thun 00 a, zurich city 01 a, zurich city 02 a, zurich city 08 a, zurich city 11 aAEE: 5.31 -> 4.26; 6.32 -> 5.61; 8.98 -> 8.70; 6.22 -> 5.08; 4.57 -> 3.27Helped
Replace ARMS multi-scale averaging with TEG belief propagation using a smoothness priorIncremental event-based full optical flow estimation · DSEC thun 00 a, zurich city 01 a, zurich city 02 a, zurich city 08 a, zurich city 11 a% Out: 60.0 -> 45.5; 23.8 -> 23.2; 78.7 -> 72.6; 64.4 -> 49.5; 51.4 -> 32.2Helped
Replace normal-flow averaging with TEG marginalization and spatial priorSynthetic ESIM-bricks scene · ESIM-bricksfull-flow estimation accuracyHelped
Replace multi-scale average-norm selection with TEG belief propagationIncremental event-based flow estimation · DVS-stripesflow accuracyHelped

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