Visual Subterranean Junction Recognition for MAVs based on Convolutional Neural Networks.
Sina Sharif MansouriPetros S. KarvelisChristoforos KanellakisAnton KovalGeorge NikolakopoulosPublished in: IECON (2019)
Keyphrases
- convolutional neural networks
- convolutional network
- visual learning
- object recognition
- recognition rate
- visual information
- recognition accuracy
- visual processing
- visual cues
- neural network
- visual representation
- human vision
- visual perception
- visual recognition
- recognition algorithm
- low level
- multiresolution
- feature extraction
- real time
- visual search
- gesture recognition
- automatic recognition
- visual features
- recognition process
- document analysis
- pattern recognition
- recognition scheme
- high level