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

Medical Signal Processing using IoT Devices
Medical Signal Processing using IoT Devices
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Indexing and Searching E-Learning Content
Indexing and Searching E-Learning Content
Development and Prototyping of ICT enabled Smart Charging Network Components
Development and Prototyping of ICT enabled Smart Charging Network Components
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
Admissions Apply Now