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 :
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