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

Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
BAJA SAE AUBURN
BAJA SAE AUBURN
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products
Growth and Fabrication of Blue – Green Lasers for under Water Communication
Growth and Fabrication of Blue – Green Lasers for under Water Communication
Study on Rural Water Management for Irrigation
Study on Rural Water Management for Irrigation
Admissions Apply Now