Back close

Parallelizing Low Vision Feature Extraction through GPUs

School: School of Engineering, Coimbatore

Project Incharge:Dr. Rajathilagam B.
Project Incharge:Ms. Geethu Mohan Mrs. Anisha Radhakrishnan
Parallelizing Low Vision Feature Extraction through GPUs

Accelerating feature extraction and matching algorithms using GPUs for low vision images is the aim of this work. Feature relationships are built from pixel level features to facilitate subsequent learning and generalization of the object information in an image.

Related Projects

Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Technology for Sustainable Livelihoods
Technology for Sustainable Livelihoods
Statistical Semantic Networks for Concept and Document Relatedness
Statistical Semantic Networks for Concept and Document Relatedness
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Smart EV Sharing infrastructure with Solar Powered EV Battery Swapping/Charging Stations
Smart EV Sharing infrastructure with Solar Powered EV Battery Swapping/Charging Stations
Admissions Apply Now