Unsupervised-Learning-Based Continuous Depth and Motion Estimation With Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery.
Ling LiXiaojian LiShanlin YangShuai DingAlireza JolfaeiXi ZhengPublished in: IEEE Trans. Ind. Informatics (2021)
Keyphrases
- virtual reality
- minimally invasive surgery
- unsupervised learning
- motion estimation
- image sequences
- optical flow
- degrees of freedom
- virtual environment
- intraoperative
- three dimensional
- minimally invasive
- depth map
- augmented reality
- pose estimation
- soft tissue
- semi supervised
- motion vectors
- video coding
- computer graphics
- photorealistic
- virtual world
- video sequences
- image guided
- motion compensation
- computer vision
- motion field
- virtual humans
- virtual reality technology
- interactive virtual
- motion model
- object recognition
- virtual space
- real time
- computer assisted
- computer aided
- dimensionality reduction
- machine learning