Convolutional Transformer for Autonomous Recognition and Grading of Tomatoes Under Various Lighting, Occlusion, and Ripeness Conditions.
Asim KhanTaimur HassanMuhammad ShafayIsraa FahmyNaoufel WerghiLakmal D. SeneviratneIrfan HussainPublished in: CoRR (2023)
Keyphrases
- recognition accuracy
- occluded objects
- partial occlusion
- automatic recognition
- ar face database
- recognition rate
- object recognition
- viewpoint
- sufficient conditions
- feature extraction
- action recognition
- cooperative
- environmental conditions
- recognition process
- visual recognition
- fault diagnosis
- fuzzy logic
- illumination invariant face recognition
- lighting conditions
- recognition algorithm
- robotic systems
- convolutional neural networks
- face recognition
- incipient fault
- neural network
- character recognition
- illumination conditions
- pattern recognition
- unsupervised learning
- d objects