Monocular Depth Estimation using Synthetic Data for an Augmented Reality Training System in Laparoscopic Surgery.
Andre M. SchreiberMinsik HongJerzy W. RozenblitPublished in: SMC (2021)
Keyphrases
- synthetic data
- augmented reality
- depth estimation
- real scenes
- depth cues
- stereo vision
- depth map
- real world
- stereo matching
- data sets
- human computer interaction
- virtual reality
- depth information
- image sequences
- dynamic scenes
- optical flow
- d scene
- three dimensional
- minimally invasive
- vision system
- user interface
- reinforcement learning
- high quality
- stereo images
- stereo pair
- real time