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

Impacts of recent El-Nino Southern Oscillation (ENSO) on the Water-Food-Energy Nexus in South Asia (Indian PI)
Impacts of recent El-Nino Southern Oscillation (ENSO) on the Water-Food-Energy Nexus in South Asia (Indian PI)
Design and Synthesis of Peptide Nucleic Acids (PNA, Artificial DNA) Having Makers for Easy Recognition of PNA-DNA Binding
Design and Synthesis of Peptide Nucleic Acids (PNA, Artificial DNA) Having Makers for Easy Recognition of PNA-DNA Binding
Development of a method to Control Ultraviolet Radiation in welding Processes
Development of a method to Control Ultraviolet Radiation in welding Processes
Feature based Transfer Function Design for Volume Rendering
Feature based Transfer Function Design for Volume Rendering
Nanostructured Thin Films of Composites Synthesized by Spray Coating Technique for Corrosion and Wear Resistance Applications
Nanostructured Thin Films of Composites Synthesized by Spray Coating Technique for Corrosion and Wear Resistance Applications
Admissions Apply Now