Hardware Acceleration of Computer Vision and Deep Learning Algorithms on the Edge using OpenCL.
Bakshree MishraD. ChakrabortyS. MakkadayilS. D. PatilB. NallaniPublished in: EAI Endorsed Trans. Cloud Syst. (2019)
Keyphrases
- computer vision
- learning algorithm
- deep architectures
- machine learning
- image processing
- low cost
- real time
- edge detection
- hardware and software
- graphics processing units
- machine learning algorithms
- computer graphics
- deep learning
- perceptual organization
- hardware implementation
- camera calibration
- signal processing
- vision system
- parallel architectures
- pattern recognition
- pose estimation
- learning problems
- active learning
- shared memory
- edge information
- object recognition
- weighted graph
- massively parallel
- supervised learning
- image understanding
- learning tasks
- parallel algorithm
- action recognition
- training data
- computer systems
- object detection
- image segmentation
- field programmable gate array
- face recognition
- high end
- parallel execution
- parallel computing
- embedded systems
- learning scheme
- image analysis
- back propagation
- unsupervised learning
- motion estimation
- computing systems
- shape matching
- optical flow
- image features
- hardware design
- labeled data
- general purpose