Title :
Local shape recognition for mobile applications
Author_Institution :
Distrib. Events Anal. Res. Lab., Comput. & Autom. Res. Inst., Budapest, Hungary
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
The paper presents a proof-of-concept shape-based visual recognition method with efficient local implementation for mobile devices, not relying on network or cloud processing. In such situations the focus is on effectiveness and simplicity, preserving a high level of functionality. Applications include offline object recognition and template matching (e.g. authorization, blind aid, product recognition).
Keywords :
cloud computing; image matching; mobile computing; object recognition; shape recognition; cloud processing; local shape recognition; mobile applications; mobile devices; offline object recognition; shape-based visual recognition method; template matching; Indexes; Mobile handsets; Performance evaluation; Shape; Target recognition; Turning; Visualization; indexing; mobile vision; retrieval; shape recognition;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6466906
