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

Development of Light Weight Bullet Proof Composite
Development of Light Weight Bullet Proof Composite
Amrita Automotive Technology Center (AATC)
Amrita Automotive Technology Center (AATC)
Design of Low Weight Shaped Beam Reflector Antenna with Integral IFF and SLB Antenna
Design of Low Weight Shaped Beam Reflector Antenna with Integral IFF and SLB Antenna
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
An automated system to mitigate loss of life at unmanned level crossings
An automated system to mitigate loss of life at unmanned level crossings
Admissions Apply Now