Title :
Robust and Accurate Visual Echo Cancelation in a Full-duplex Projector-Camera System
Author :
Liao, Miao ; Yang, Ruigang ; Zhang, Zhengyou
Author_Institution :
Dept. of Comput. Sci., Univ. of Kentucky, Lexington, KY
Abstract :
In this paper we study the problem of "visual echo" in a full-duplex projector-camera system for tele-collaboration applications. Visual echo is defined as the appearance of projected contents observed by the camera. It can potentially saturate the projected contents, similar to audio echo in telephone conversation. Our approach to visual echo cancelation includes an off-line calibration procedure that records the geometric and photometric transfer between the projector and the camera in a look-up table. During run-time, projected contents in the captured video are identified using the calibration information and suppressed, therefore achieving the goal of canceling visual echo. Our approach can accurately handle full color images under arbitrary reflectance of display surfaces and photometric response of the projector or camera. It is robust to geometric registration errors and quantization effect, therefore particularly effective for high-frequency contents such as texts and hand drawings. We demonstrate the effectiveness of our approach with a variety of real images in a full-duplex projector-camera system.
Keywords :
echo suppression; image denoising; image registration; image sensors; optical projectors; table lookup; accurate visual echo cancellation; audio echo; full-duplex projector-camera system; geometric registration errors; look-up table; offline calibration procedure; photometric transfer; telecollaboration applications; telephone conversation; camera calibration; collaboration; projector-camera system; teleconferencing; visual echo cancelation; Algorithms; Artifacts; Data Display; Feedback; Image Enhancement; Image Interpretation, Computer-Assisted; Photography; Reproducibility of Results; Sensitivity and Specificity; User-Computer Interface;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2007.70828