mlsanityData to 7 Oct 2026

Shining light on the DVS pixel: A tutorial and discussion about biasing and optimization

arXiv 2304.04706 ↗First posted 10 Apr 2023eess.SY cs.SYcited by 21

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Abstract (arXiv)

The operation of the DVS event camera is controlled by the user through adjusting different bias parameters. These biases affect the response of the camera by controlling - among other parameters - the bandwidth, sensitivity, and maximum firing rate of the pixels. Besides determining the response of the camera to input signals, biases significantly impact its noise performance. Bias optimization is a multivariate process depending on the task and the scene, to which the user's knowledge about pixel design and non-idealities can be of great importance. In this paper, we go step-by-step along the signal pathway of the DVS pixel, shining light on its low-level operation and non-idealities, comparing pixel level measurements with array level measurements, and discussing and how biasing and illumination affect the pixel's behavior. With the results and discussion presented, we aim to help DVS users achieve more hardware-aware camera utilization and modelling.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2023.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 12; 2025: 6; 2026: 2.

21 papers.

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  1. 2024Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Camerascited by 10
  2. 2024Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditionscited by 10
  3. 2024From Sim-to-Real: Toward General Event-based Low-light Frame Interpolation with Per-scene Optimizationcited by 8
  4. 2024Event-Based Motion Magnificationcited by 7
  5. 2024Noise2Image: Noise-Enabled Static Scene Recovery for Event Camerascited by 7
  6. 2024Generalized Event Camerascited by 7
  7. 2024ADV2E: Bridging the Gap Between Analogue Circuit and Discrete Frames in the Video-to-Events Simulatorcited by 7
  8. 2024Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imagingcited by 3
  9. 2024Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimationcited by 3
  10. 2025Event Spectroscopy: Event-based Multispectral and Depth Sensing using Structured Lightcited by 3
  11. 2024Quantifying Noise of Dynamic Vision Sensorcited by 1
  12. 2024Optimal OnTheFly Feedback Control of Event Sensorscited by 1
9 more
  1. 2025On the Theory of Bias Tuning in Event Camerascited by 1
  2. 2025EBS-EKF: Accurate and High Frequency Event-based Star Trackingcited by 1
  3. 2025BiasBench: A reproducible benchmark for tuning the biases of event camerascited by 1
  4. 2025Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injectioncited by 1
  5. 2023Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systemscited by 0
  6. 2024Characterization of dim light response in DVS pixel: Discontinuity of event triggering timecited by 0
  7. 2025Filter-Based Reconstruction of Images from Eventscited by 0
  8. 2026Event Driven Clustering Algorithmcited by 0
  9. 2026Event-RGB Adaptive Tracking for Nighttime Highway Perceptioncited by 0