Neural Networks
Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Face Detection
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
The Ubiquitous Camera: An In-Depth Study of Camera Phone Use
IEEE Pervasive Computing
ICAT '07 Proceedings of the 17th International Conference on Artificial Reality and Telexistence
Mobile Retriever: access to digital documents from their physical source
International Journal on Document Analysis and Recognition
Pose tracking from natural features on mobile phones
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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In this chapter we describe “MobileEye”, a software suite which converts a camera enabled mobile device into a multi-function vision tool that can assist the visually impaired in their daily activities. MobileEye consists of four subsystems, each customized for a specific type of visual disabilities: A color channel mapper which can tell the visually impaired different colors; a software based magnifier which provides image magnification as well as enhancement; a pattern recognizer which can read currencies; and a document retriever which allows access to printed materials. We developed cutting edge computer vision and image processing technologies, and tackled the challenges of implementing them on mobile devices with limited computational resources and low image quality. The system minimizes keyboard operation for the usability of users with visual impairments. Currently the software suite runs on Symbian and Windows Mobile handsets. In this chapter we provides a high level overview of the system, and then discuss the pattern recognizer in detail. The challenge is how to build a real-time recognition system on mobile devices and we present our detailed solutions.