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

High Performance Polymeric Composite for Space Applications
High Performance Polymeric Composite for Space Applications
Polymer Nanocomposites for Inflatable Space Structures
Polymer Nanocomposites for Inflatable Space Structures
Burning velocity measurment of biodiesel components using divergent chennal technique and Heat Flux Method
Burning velocity measurment of biodiesel components using divergent chennal technique and Heat Flux Method
Development of Spinodal bronze, Bronze Matrix Composite and Functionally Gradient Bronze and Comparison of their Mechanical and Wear Properties
Development of Spinodal bronze, Bronze Matrix Composite and Functionally Gradient Bronze and Comparison of their Mechanical and Wear Properties
Design and Development of a Combustion Based Micro-Power Generator
Design and Development of a Combustion Based Micro-Power Generator
Admissions Apply Now