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

Towards Next-generation Adaptable Computing
Towards Next-generation Adaptable Computing
Development of Entropy alloys and detemination of their Mechanical Properties including Hardness and wear rate
Development of Entropy alloys and detemination of their Mechanical Properties including Hardness and wear rate
Design and Analysis of Cryptographically Secure Power Generators
Design and Analysis of Cryptographically Secure Power Generators
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
Detailed computational modelling and optimization of natural draught cook stoves
Detailed computational modelling and optimization of natural draught cook stoves
Admissions Apply Now