论文信息 - Event Density Based Denoising Method for Dynamic Vision Sensor - 字舞流文

Event Density Based Denoising Method for Dynamic Vision Sensor

Yang Feng | Hailong Liu | Hengyi Lv | Yuyao Xiao | Chengshan Han | Yisa Zhang | Chengshan Han | Yisa Zhang | Hengyi Lv | Hailong Liu | Yuyao Xiao | Yang Feng

[1] Hubert Konik,et al. Characterization setup for event-based imagers applied to modulated light signal detection. , 2019, Applied optics.

[2] Chiara Bartolozzi,et al. Event-Based Visual Flow , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[3] T. Delbruck,et al. Temperature and Parasitic Photocurrent Effects in Dynamic Vision Sensors , 2017, IEEE Transactions on Electron Devices.

[4] Margarita Chli,et al. Asynchronous Corner Detection and Tracking for Event Cameras in Real Time , 2018, IEEE Robotics and Automation Letters.

[5] Tobi Delbrück,et al. A 128$\times$ 128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor , 2008, IEEE Journal of Solid-State Circuits.

[6] Ryan Kastner,et al. $O(N)$O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors , 2021, IEEE Trans. Emerg. Top. Comput..

[7] Federico Sandoval-Ibarra,et al. American Sign Language Alphabet Recognition Using a Neuromorphic Sensor and an Artificial Neural Network , 2017, Sensors.

[8] Juan Barrios-Aviles,et al. Less Data Same Information for Event-Based Sensors: A Bioinspired Filtering and Data Reduction Algorithm , 2018, Sensors.