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Reconfiguring the Imaging Pipeline for Computer Vision
Mark Buckler
,
Suren Jayasuriya
, Adrian Sampson
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
113
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Scopus citations
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Dive into the research topics of 'Reconfiguring the Imaging Pipeline for Computer Vision'. Together they form a unique fingerprint.
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Keyphrases
Computer Vision
100%
Reconfiguration
100%
Imaging pipeline
100%
Image Dataset
100%
Imaging Systems
66%
Computer Vision Algorithms
66%
Sensor Design
66%
Image Signal Processing
66%
Deep Learning
33%
Processing Stages
33%
Energy Saving
33%
Analog-to-digital Converter
33%
Image Sensor
33%
Vision Task
33%
Task Performance
33%
Task Accuracy
33%
Efficient Hardware
33%
Design Features
33%
Average Energy
33%
Low Vision
33%
Embedded Vision
33%
Demosaicing
33%
Adjustable Resolution
33%
CNN-based
33%
Pipeline Simulation
33%
Image Signal Processing pipeline
33%
Vision Performance
33%
System Impact
33%
Low-precision
33%
Computational Energy
33%
Low-resolution Images
33%
Computer Science
Computer Vision
100%
Signal Processing
75%
Imaging Systems
50%
Simulation Tool
25%
Image Quality
25%
Computer Vision Algorithms
25%
Processing Stage
25%
Task Performance
25%
Embedded Computer
25%
Analog-to-Digital Converter
25%
Demosaicing
25%
Convolutional Neural Network
25%
Deep Learning Method
25%
Image Sensor
25%