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: WACV (2020)
Keyphrases
- depth images
- image guided
- depth data
- kinect sensor
- depth information
- color information
- depth cameras
- depth map
- pose estimation
- low resolution
- medical imaging
- intraoperative
- imaging modalities
- time of flight
- tof camera
- high quality
- random forests
- prostate cancer
- color images
- pattern recognition
- intensity images
- stereo vision
- image registration
- computer vision
- machine learning
- single image
- super resolution
- multi view