Back close
Admissions

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

Ultralight Weight Fire Composite for Habitat and Bunkers
Ultralight Weight Fire Composite for Habitat and Bunkers
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
Numerical Modelling of Flow-Forming process and Experimental Validation
Numerical Modelling of Flow-Forming process and Experimental Validation
Durability of High Performance Nano Adhesive Bonding of Aluminium under Aerospace Environments
Durability of High Performance Nano Adhesive Bonding of Aluminium under Aerospace Environments
Development and Scale-Up of Plunging Hollow Jet, Venturi and Sudden Expansion Type Aerators
Development and Scale-Up of Plunging Hollow Jet, Venturi and Sudden Expansion Type Aerators
Admissions Apply Now