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

Water and Energy Saving Reliable Irrigation System (WatEr-ERIS): Solar Energy and Cloud-based Decision Support System for Automated Irrigation System (CoPI)
Water and Energy Saving Reliable Irrigation System (WatEr-ERIS): Solar Energy and Cloud-based Decision Support System for Automated Irrigation System (CoPI)
High Temperature Thermoplastic Hybrid Composite for Higher Tensile Strength and Impact Resistance
High Temperature Thermoplastic Hybrid Composite for Higher Tensile Strength and Impact Resistance
Design and Analysis of Dual Frequency Quarter-Wave Shorted Microstrip Patch Antenna for Satellite MIMO
Design and Analysis of Dual Frequency Quarter-Wave Shorted Microstrip Patch Antenna for Satellite MIMO
Predictive Threat Evaluation in Complex IT Systems
Predictive Threat Evaluation in Complex IT Systems
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Admissions Apply Now