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

Prototype Design of Low-Cost Biomass to Liquid Fuel System
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Design and development of smart composite structures for active vibration and shape control
Design and development of smart composite structures for active vibration and shape control
Development of Image Fusion Techniques and Measurement Methods to Assess Quality of Fusion
Development of Image Fusion Techniques and Measurement Methods to Assess Quality of Fusion
Secured Data Acquisition and Transmission System for Data Center (SDATS)
Secured Data Acquisition and Transmission System for Data Center (SDATS)
Structured Dialogues for Sustainable Urban Water Management
Structured Dialogues for Sustainable Urban Water Management
Admissions Apply Now