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

A study on the utilization of student welfare schemes offered by Government of Tamilnadu in Coimbatore district
A study on the utilization of student welfare schemes offered by Government of Tamilnadu in Coimbatore district
Development of Source Code Methodologies – Plagiarism Detection Engine
Development of Source Code Methodologies – Plagiarism Detection Engine
Hybrid Composite for Aviation Applications
Hybrid Composite for Aviation Applications
The Role of Rural Institutions in Enabling Adaptation to Climate Change in the Agricultural Sector across Different Ecosystems in India
The Role of Rural Institutions in Enabling Adaptation to Climate Change in the Agricultural Sector across Different Ecosystems in India
Machine Independent fault diagnosis a unified approach
Machine Independent fault diagnosis a unified approach
Admissions Apply Now