The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks.
José A. Rodríguez-RodríguezMiguel A. Molina-CabelloRafaela Benítez-RochelEzequiel López-RubioPublished in: ICPR Workshops (6) (2020)
Keyphrases
- motion blur
- convolutional neural networks
- object recognition
- spatially varying
- image noise
- camera motion
- computer vision
- super resolution
- image restoration
- frame rate
- video camera
- point spread function
- blurred images
- motion deblurring
- natural images
- object detection
- three dimensional
- spatio temporal
- video sequences
- dynamic scenes
- multiscale
- computational complexity
- viewpoint
- scene depth
- real time