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

Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Technoeconomic Environmental Assessment of Greener Technologies for Road Transport and Power Generation to reduce Atmospheric Pollution and its Impact on Human Health In Delhi
Technoeconomic Environmental Assessment of Greener Technologies for Road Transport and Power Generation to reduce Atmospheric Pollution and its Impact on Human Health In Delhi
Hybrid Composite for Aviation, Space and Defence Applications
Hybrid Composite for Aviation, Space and Defence Applications
Development of Ultra High Performance Polymer-Carbon Fibre Composite for Future Generation Aviation and Defence
Development of Ultra High Performance Polymer-Carbon Fibre Composite for Future Generation Aviation and Defence
Design and Synthesis of Organelle Specific Reactive Fluorescent Probes for Chemoselective Bioimaging
Design and Synthesis of Organelle Specific Reactive Fluorescent Probes for Chemoselective Bioimaging
Admissions Apply Now