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

Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Development of Malayalam Wordnet
Development of Malayalam Wordnet
Appraisal of Seismic hazard in Delhi and Assessment of Preparedness Level among the Community
Appraisal of Seismic hazard in Delhi and Assessment of Preparedness Level among the Community
Predictive Modeling of Complex IT systems
Predictive Modeling of Complex IT systems
Computational and Experimental Investigations on a combined vibration absorber energy harvester system.
Computational and Experimental Investigations on a combined vibration absorber energy harvester system.
Admissions Apply Now