A camera phone based currency reader for the visually impaired
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Image deblurring using inertial measurement sensors
ACM SIGGRAPH 2010 papers
Real-time walk light detection with a mobile phone
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
Real time object scanning using a mobile phone and cloud-based visual search engine
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
| Hi-index | 0.00 |
A wide range of smartphone applications are emerging that employ image processing and computer vision algorithms to interpret the contents of images acquired by the phone's built-in camera, including applications that read product barcodes and recognize a variety of documents and other objects. However, almost all of these applications are designed for normally sighted users; a major barrier for visually impaired users (who might benefit greatly from such applications) is the difficulty of taking good-quality images. To overcome this barrier, this paper focuses on reducing the incidence of motion blur, caused by camera shake and other movements, which is a common cause of poor-quality, unusable images. We propose a simple technique for detecting camera shake, using the smartphone's built-in accelerometer (i.e. tilt sensor) to alert the user in real-time to any shake, providing feedback that enables him/her to hold the camera more steadily. A preliminary experiment with a blind iPhone user demonstrates the feasibility of the approach.