Neuron-Inspired Time-of-Flight Sensing via Spike-Timing-Dependent Plasticity of Artificial Synapses.
Minseong ParkYuan YuanYongmin BaekAndrew H. JonesNicholas LinDoeon LeeHee Sung LeeSihwan KimJoe C. CampbellKyusang LeePublished in: Adv. Intell. Syst. (2022)
Keyphrases
- time of flight
- synaptic plasticity
- synaptic weights
- spiking neural networks
- biologically plausible
- infrared
- artificial neural networks
- neural network
- biologically inspired
- depth map
- depth images
- spiking neurons
- depth information
- tof camera
- high accuracy
- neural network model
- stereo vision
- high resolution
- range data
- spike trains
- spatial resolution
- learning rules
- three dimensional
- feed forward
- input patterns
- real time
- sensor networks
- viewpoint
- depth data
- low resolution
- multi view
- real scenes
- image processing