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

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
Synthesis, Characterization and Liquid Crystalline Studies of Schiff Base Containing Porphyrin
Synthesis, Characterization and Liquid Crystalline Studies of Schiff Base Containing Porphyrin
Understanding Impacts of El-Nino events on the Indian Agricultural Productivity (CoPI)
Understanding Impacts of El-Nino events on the Indian Agricultural Productivity (CoPI)
Statistical Approaches to Generating Concept Graphs
Statistical Approaches to Generating Concept Graphs
Detailed computational modelling and optimization of natural draught cook stoves
Detailed computational modelling and optimization of natural draught cook stoves
Admissions Apply Now