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

Total coloring conjecture for certain classes of graphs
Total coloring conjecture for certain classes of graphs
Study of Heat Transfer Characteristics of Nanofluids as Coolants for Automotive Application
Study of Heat Transfer Characteristics of Nanofluids as Coolants for Automotive Application
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
A Service Oriented Framework for Smart Hospitals
A Service Oriented Framework for Smart Hospitals
Modeling the Effects of Decreased Level of GABA and Accumulation of GHB on GABA Receptors and its Effect on Pediatric/ Neonatal Seizures
Modeling the Effects of Decreased Level of GABA and Accumulation of GHB on GABA Receptors and its Effect on Pediatric/ Neonatal Seizures
Admissions Apply Now