Date of Award
2010
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
In recent years there has been great interest in implementing object recognition frame work on mobile phones. This has stemmed from the fact the advances in object recognition algorithm and mobile phone capabilities have built a congenial ecosystem. Application developers on mobile platforms are trying to utilize the object recognition technology to build better human computer interfaces. This approach is in the nascent phase and proper application framework is required. In this thesis, we propose a framework to overcome design challenges and provide an evaluation methodology to assess the system performance. We use the emerging Android mobile platform to implement and test the framework. We performed a case study using the proposal and reported the test result. This assessment will help developers make wise decisions about their application design. Furthermore, the Android API developers could use this information to provide better interfaces to the third party developers. The design and evaluation methodology could be extended to other mobile platforms for a wider consumer base.
Extent
xii, 69 p. : ill. (some col.)
Recommended Citation
Tyagi, Vivek K., "Object recognition on Android mobil platform using speeded up robust features" (2010). Electronic Theses and Dissertations 2010 - 2019. 145.
https://digitalcommons.fau.edu/etd_general_6/145
Identifier
FADT2683531
Comments
by Vivek Kumar Tyagi.|Thesis (M.S.C.S.)--Florida Atlantic University, 2010.|Includes bibliography.|Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.|by Vivek Kumar Tyagi.