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

Ethylene Propylene Diene Monomer (EPDM) Rubber based Nanocomposites for Application in Corrosive and Radiation Environments
Ethylene Propylene Diene Monomer (EPDM) Rubber based Nanocomposites for Application in Corrosive and Radiation Environments
Amrita Automotive Technology Center (AATC)
Amrita Automotive Technology Center (AATC)
Influence of Boron Carbide Addition on Neutron Shielding Ability of Cement Mortar Mix
Influence of Boron Carbide Addition on Neutron Shielding Ability of Cement Mortar Mix
Strengthen child protection system and structures to deliver preventive and responsive child protection service in Tamilnadu and Kerala
Strengthen child protection system and structures to deliver preventive and responsive child protection service in Tamilnadu and Kerala
Indoor Information Representation and Management System
Indoor Information Representation and Management System
Admissions Apply Now