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

Super resolution of Images for Breast Cancer from Mammography Images
Super resolution of Images for Breast Cancer from Mammography Images
Study on Rural Water Management & Usage
Study on Rural Water Management & Usage
Design and Development of Low Profile Substrate Integrated Dielectric Resonator Antenna for Space Applications
Design and Development of Low Profile Substrate Integrated Dielectric Resonator Antenna for Space Applications
Ultralight Weight Fire Composite for Habitat and Bunkers
Ultralight Weight Fire Composite for Habitat and Bunkers
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Reduction in Adjustable speed drives
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Reduction in Adjustable speed drives
Admissions Apply Now