Exploiting architectural features of a computer vision platform towards reducing memory stalls.
Naveed Ul MustafaMartin J. O'RiordanStephen RogersOzcan OzturkPublished in: J. Real Time Image Process. (2020)
Keyphrases
- computer vision
- real time
- image understanding
- image processing
- object recognition
- memory requirements
- camera calibration
- computer graphics
- memory space
- computer vision algorithms
- pattern recognition
- image analysis
- low memory
- object detection
- vision system
- perceptual organization
- computing power
- neural network
- platform independent
- distributed architecture
- memory usage
- pose estimation
- machine learning
- main memory
- video surveillance
- medical imaging
- computer vision systems
- image segmentation
- action recognition
- memory size
- shape matching
- scene analysis
- database
- face detection
- image features
- artificial neural networks