Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression.
Diyar Khalis BilalMustafa UnelLutfi Taner TuncBora GonulPublished in: Robotics Comput. Integr. Manuf. (2022)
Keyphrases
- pose estimation
- neural network
- computer vision
- d objects
- human body
- feature points
- human pose estimation
- degrees of freedom
- monocular images
- sparse regression
- body parts
- position and orientation
- human pose
- pattern recognition
- mobile robot
- human computer interaction
- classification accuracy
- vision system
- gaussian processes
- high dimensional