Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images.
Hak Gu KimMinho ParkSangmin LeeSeongyeop KimYong Man RoPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- depth cues
- depth perception
- visual information
- stereoscopic images
- depth map
- motion parallax
- visual features
- function approximation
- visual perception
- model free
- markov decision processes
- reinforcement learning algorithms
- depth information
- transfer learning
- learning process
- high level
- learning algorithm
- machine learning
- learning problems
- neural network
- state space
- low level
- action selection
- high quality
- stereoscopic video