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

Development of Energy Saver for Induction Motors
Development of Energy Saver for Induction Motors
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Reduction in Adjustable speed drives
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Reduction in Adjustable speed drives
Investigation of compatibility between portland pozzolana cement and admixtures in high performance concrete
Investigation of compatibility between portland pozzolana cement and admixtures in high performance concrete
Innovation Management in the Indian IT Industry and to Develop Strategies for Commercializing Innovative IT Products and Services
Innovation Management in the Indian IT Industry and to Develop Strategies for Commercializing Innovative IT Products and Services
Analysis of Throat Film Cooling for Semi Cryogenic Thrust Chamber
Analysis of Throat Film Cooling for Semi Cryogenic Thrust Chamber
Admissions Apply Now