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

Durability of High Performance Nano Adhesive Bonding of Aluminium under Aerospace Environments
Durability of High Performance Nano Adhesive Bonding of Aluminium under Aerospace Environments
Technoeconomic Environmental Assessment of Greener Technologies for Road Transport and Power Generation to reduce Atmospheric Pollution and its Impact on Human Health In Delhi
Technoeconomic Environmental Assessment of Greener Technologies for Road Transport and Power Generation to reduce Atmospheric Pollution and its Impact on Human Health In Delhi
Development of Mine Blast Proof Composite
Development of Mine Blast Proof Composite
Mitigation of dam induced flood disaster due to hydrological extremes (CoPI)
Mitigation of dam induced flood disaster due to hydrological extremes (CoPI)
Nanostructured Thin Films of Composites Synthesized by Spray Coating Technique for Corrosion and Wear Resistance Applications
Nanostructured Thin Films of Composites Synthesized by Spray Coating Technique for Corrosion and Wear Resistance Applications
Admissions Apply Now