Back close

Performance Analysis of Ornament Dressing room on GPU over CPU

Project Incharge:R.Suganya
Co-Project Incharge:Shridhar S Kini
Performance Analysis of Ornament Dressing room on GPU over CPU

The Graphics Processing Unit (GPU) has become an integral part of mainstream computing. The advancement and evolution of GPU has lead to a significant performance improvement of many algorithms used in day today life. Being a powerful Graphics engine, GPU’s are also powerful programmable processors featuring wide range of benefits over memory and arithmetic calculation. Along with GPU’s, advancement of Sensor Technology has led to many innovative Applications in recent years. The introduction of Microsoft Kinect has opened a plethora of application in Augmented Reality (AR) domain. Ornamental Dressing Room is an AR application meant for Jewellery visualization on human neck. Aim of the application is to develop an AR system that gives a visualization of ornaments worn on a human body. The User who intended to purchase ornaments, will face the Kinect Sensor, the application does the rest by identifying the control point at the neck and augments the selected jewelry over the neck. This project is aimed at comparing the results of applying parallel programming concepts for algorithms used in Ornament Dressing Room with GPU over CPU.

Block Image

Related Projects

National Knowledge Network (NKN): A Gateway to Global Classroom
National Knowledge Network (NKN): A Gateway to Global Classroom
Appraisal of Seismic hazard in Delhi and Assessment of Preparedness Level among the Community
Appraisal of Seismic hazard in Delhi and Assessment of Preparedness Level among the Community
Modernisation of Dynamics Laboratory for realtime vibration analysis (MODROB)
Modernisation of Dynamics Laboratory for realtime vibration analysis (MODROB)
Novel Targeted Chitosan based Therapeutic Polymeric Nanomedicines for Lung Cancer Applications
Novel Targeted Chitosan based Therapeutic Polymeric Nanomedicines for Lung Cancer Applications
Hybrid Analysis Framework for Detection of Application Backdoors
Hybrid Analysis Framework for Detection of Application Backdoors
Admissions Apply Now