TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images.
Lucia MigliorelliAlessandro CacciatoreValeria OttavianiDaniele BerardiniRaffaele L. DellacàEmanuele FrontoniSara MocciaPublished in: Medical Biol. Eng. Comput. (2023)
Keyphrases
- deep learning
- depth images
- position estimation
- pose estimation
- position and orientation
- autonomous navigation
- depth information
- low resolution
- machine learning
- parameter estimation
- image matching
- pairwise
- depth map
- video sequences
- feature points
- high quality
- training data
- similarity measure
- feature extraction
- face recognition
- image sequences
- image processing
- data mining