Recurrent Neural Networks on Drifting Time-of-Flight Measurements.
Tobias FeiglThorsten NowakMichael PhilippsenThorsten EdelhäußerChristopher MutschlerPublished in: IPIN (2018)
Keyphrases
- time of flight
- recurrent neural networks
- infrared
- depth map
- depth information
- neural network
- tof camera
- high accuracy
- echo state networks
- recurrent networks
- stereo vision
- range data
- depth images
- feed forward
- reservoir computing
- high resolution
- artificial neural networks
- spatial resolution
- nonlinear dynamic systems
- high temporal resolution
- intensity images
- real scenes
- depth data
- stereo matching
- surface reconstruction
- range images
- motion estimation
- image data
- three dimensional
- decision trees