DocumentCode
2830337
Title
Integrating 3D object detection, modelling and tracking on a mobile phone
Author
Bunnun, P. ; Damen, Dima ; Calway, Andrew ; Mayol-Cuevas, Walterio
Author_Institution
Dept. of Comput. Sci., Univ. of Bristol, Bristol, UK
fYear
2012
fDate
5-8 Nov. 2012
Firstpage
273
Lastpage
274
Abstract
This paper presents a complete system on a camera phone that integrates a texture less 3D object detector together with in-situ modelling and tracking. The result is a suite intended for AR applications on the move where objects can be captured, tracked and with the automated detection providing a bridge to either initialize tracking or resume it after measurement loss. The object detector training is online and in-situ and benefits from tight integration with the modelling and tracking processes.
Keywords
augmented reality; cameras; image texture; mobile handsets; object detection; object tracking; 3D object detection integration; AR applications; automatic texture-less 3D object detector; in-situ 3D object modelling integration; in-situ 3D object tracking integration; measurement loss; mobile camera phone; object capturing; online object detector training; Computational modeling; Constellation diagram; Detectors; Image edge detection; Object detection; Solid modeling; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Mixed and Augmented Reality (ISMAR), 2012 IEEE International Symposium on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4673-4660-3
Electronic_ISBN
978-1-4673-4661-0
Type
conf
DOI
10.1109/ISMAR.2012.6402570
Filename
6402570
Link To Document