Document Image Restorationon Mobile PhoneUsing Onboard Camera.pptVIP

LYU0503Document Image Restorationon Mobile PhoneUsing Onboard Camera Supervisor: Prof. Michael R.Lyu Group Member: Leung Man Kin, Stephen Ng Ying Kit, Tommy Outline Introduction Approach Stitching Algorithm Geometric Transformation Progress Conclusion Future Plan Outline Introduction Approach Stitching Algorithm Geometric Transformation Progress Conclusion Future Plan Introduction Use mobile phone to capture photo of document. The document can be stored in the phone or sent to other people by several means. Objective Use camera to take photo of different parts of a document. Use suitable algorithm to merge the photos back to a whole document. Transmit the document by several means e.g. Fax, MMS, etc. Motivation Most of phones nowadays have built-in camera. Resolution of camera is not enough for document The text on the document would be blurred Symbian phone can provide several transmission function. E.g. Fax, MMS Fax at any time! Outline Introduction Approach Stitching Algorithm Geometric Transformation Progress Conclusion Future Plan Approach Take photos of different part of document Use stitching algorithm to merge the photos into a photo Stitching algorithm is our major research area of our project Assumption The document consists mainly of text. The camera has macro mode. Sharp Close Up. Approach Procedure of our design Take a photo of full document first. Then ask the user to take photos of different parts Overlay a rough picture on the screen of the phone. Approach Outline Introduction Approach Stitching Algorithm Geometric Transformation Progress Conclusion Future Plan Stitching Algorithm Stitching needs to find corresponding points in two images two different approaches Direct alignment Compare images pixel by pixel e.g. Feature-based registration Use some methods to find feature points Match features in two images Stitching Algorithm Feature-based registration is chosen. Usually, direct alignment is less efficient. Need to consider d