Modelling dynamic systems transfer functions from events in computational neuromorphic imaging

arXiv:2609.29863 · cs.CV · Submitted 2026-09-24 · Read on arXiv

cs.CV

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/nimrodkruger/EVS_dynamic_transfer_functions

Terminology

• Computational Imaging — 5× in this paper
• Aperture — 3× in this paper · explained in 1 episode
• Calibration — 3× in this paper · explained in 7 episodes
• Computational Neuromorphic Imaging — 3× in this paper
• Inverse Problem — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Optical Transfer Function — 2× in this paper
• Point Spread Function — 2× in this paper
• Reconstruction Error — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Event Vision Sensing — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Focal-Plane Array — 1× in this paper
• Inter-Spike Interval — 1× in this paper
• Linear Shift-Invariant — 1× in this paper
• Linear probe — 1× in this paper · explained in 2 episodes
• Modulation Transfer Function — 1× in this paper
• Optical Flow — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Root Mean Square — 1× in this paper
• Steering — 1× in this paper · explained in 2 episodes
• System Identification — 1× in this paper · explained in 3 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
• Coded-E2LF: Coded Aperture Light Field Imaging from Events
• Event fields: Capturing light fields at high speed, resolution, and dynamic range
• CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
• TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions
• Towards a physically realistic computationally efficient DVS pixel model
• Beyond Discretization: A Continuous-Time Framework for Event Generation in Neuromorphic Pixels
• Event Camera Calibration of Per-pixel Biased Contrast Threshold
• Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns
• Event Ellipsometer: Event-based Mueller-Matrix Video Imaging

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