Self-supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images.
Baoru HuangJian-Qing ZhengAnh NguyenDavid TuchKunal VyasStamatia GiannarouDaniel S. ElsonPublished in: MICCAI (4) (2021)
Keyphrases
- depth estimation
- depth map
- stereo vision
- ground truth
- input image
- model based pose estimation
- image data
- image registration
- three dimensional
- multiple images
- image analysis
- multi view
- disparity map
- feature matching
- image retrieval
- dynamic scenes
- dense depth maps
- image processing
- image features
- image matching
- depth information
- real scenes
- object recognition
- d scene
- stereo matching
- moving objects