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

Smart Pharmacist For Visually Impaired
Smart Pharmacist For Visually Impaired
Nanostructured iron-based mixed metal oxide photovoltaic thin films
Nanostructured iron-based mixed metal oxide photovoltaic thin films
Multi-stimuli Responsive Polymeric Vehicle for Programmed Delivery of Chemotherapeutics to the Cancers
Multi-stimuli Responsive Polymeric Vehicle for Programmed Delivery of Chemotherapeutics to the Cancers
Residual Stress Measurements in Machining of Titanium Alloys
Residual Stress Measurements in Machining of Titanium Alloys
Synthesis, Characterization and Liquid Crystalline Studies of Schiff Base Containing Porphyrin
Synthesis, Characterization and Liquid Crystalline Studies of Schiff Base Containing Porphyrin
Admissions Apply Now