Grant: Collaborative Research and Development Grants
Ryerson University
$128,500.00
A novel augmented reality framework for enriching museum exhibits
FY 2017-18
Summary
Augmented Reality (AR) is one of the hottest emerging technologies, where the combination of virtual and real worlds can result in an immersive and natural experience for the end-user. AR has found its application in fields such as medical imaging, security, enterntainment, fitness, etc. Collaborating with SimentIT, Inc., we will develop new technologies that will disrupt the way people experience museum exhibits or the like of. Specifically, we will investigate : 1) 3D object recognition, where fast and accurate recognition of 3D objects (e.g. objects on display at museums) on mobile devices will result in quick instantiation of an AR experience; 2) tracking, where we will investigate novel techniques to improve the state-of-the-art in Simultaneous Localization and Mapping (SLAM) through incorporation of semantic understanding of the visual data and multimodal fusion of data obtained from on-board mobile inertial sensors; and 3) cloud processing; where intelligent client-server work distribution and highly parallel processing will further improve the processing capabilities of an AR application. Together, the proposed methods will result in a robust framework for creating mobile AR applications. The proposed research will help to position Canada as a leader in multimedia technologies in the 21st century. The resultant technology transfer to Canadian industry will strengthen Canada's global competitiveness and create positive impacts to Canadian economy and society.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
507333-2016
Name nom
Khan, Naimul
Department département
Electrical and Computer Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
128500
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2514
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Digital signal processing
Research subject fr
Traitement des signaux numériques
Partie
1
Nb partie
2
Application title
A novel augmented reality framework for enriching museum exhibits
Keyword
NSERC
Application summary
Augmented Reality (AR) is one of the hottest emerging technologies, where the combination of virtual and real worlds can result in an immersive and natural experience for the end-user. AR has found its application in fields such as medical imaging, security, enterntainment, fitness, etc. Collaborating with SimentIT, Inc., we will develop new technologies that will disrupt the way people experience museum exhibits or the like of. Specifically, we will investigate : 1) 3D object recognition, where fast and accurate recognition of 3D objects (e.g. objects on display at museums) on mobile devices will result in quick instantiation of an AR experience; 2) tracking, where we will investigate novel techniques to improve the state-of-the-art in Simultaneous Localization and Mapping (SLAM) through incorporation of semantic understanding of the visual data and multimodal fusion of data obtained from on-board mobile inertial sensors; and 3) cloud processing; where intelligent client-server work distribution and highly parallel processing will further improve the processing capabilities of an AR application. Together, the proposed methods will result in a robust framework for creating mobile AR applications. The proposed research will help to position Canada as a leader in multimedia technologies in the 21st century. The resultant technology transfer to Canadian industry will strengthen Canada's global competitiveness and create positive impacts to Canadian economy and society.