DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation.
Liangjian ChenShih-Yao LinYusheng XieYen-Yu LinWei FanXiaohui XiePublished in: CoRR (2020)
Keyphrases
- depth images
- image guided
- depth data
- kinect sensor
- depth information
- color information
- pose estimation
- depth map
- depth cameras
- time of flight
- random forests
- intraoperative
- medical imaging
- tof camera
- prostate cancer
- imaging modalities
- low resolution
- color images
- three dimensional
- intensity images
- random forest
- medical image analysis
- machine learning algorithms
- video sequences
- image sequences