Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images.
Hak Gu KimMinho ParkSangmin LeeSeongyeop KimYong Man RoPublished in: AAAI (2021)
Keyphrases
- reinforcement learning
- depth cues
- visual perception
- visual cues
- visual features
- depth information
- three dimensional
- stereoscopic images
- depth perception
- depth map
- visual information
- stereoscopic video
- function approximation
- robotic control
- neural network
- motion parallax
- stereo vision
- low level
- multi agent
- image sequences
- high level
- optimal policy
- state space
- optimal control
- dynamic programming
- model free
- temporal difference
- hidden markov models
- optical flow
- learning algorithm