Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps
Author:
Affiliation:
1. Guangdong University of Technology,China
2. Hong Kong Baptist University,Hong Kong
3. Wuhan University,China
4. The Chinese University of Hong Kong,Hong Kong
Funder
Natural Science Foundation of Guangdong Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10649964.pdf?arnumber=10649964
Reference43 articles.
1. A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
2. A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS
3. A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor
4. Event-Guided Attention Network for Low Light Image Enhancement
5. Accurate and Efficient Frame-based Event Representation for AER Object Recognition
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