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Robust and accurate visual echo cancellation in a full-duplex projector-camera system.

Miao Liao¹, Ruigang Yang, Zhengyou Zhang

¹Department of Computer Science, University of Kentucky, Lexington, KY 40507, USA. miao.liao@cs.uky.edu

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 16, 2008

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This study introduces a method to cancel visual echo in projector-camera systems for telecollaboration. The technique uses calibration data to suppress projected content seen by the camera, improving image quality.

Area of Science:

Computer Vision
Human-Computer Interaction
Image Processing

Background:

Visual echo, where projected content appears in camera feeds, degrades telecollaboration quality.
This phenomenon is analogous to audio echo in telecommunication systems.
Existing methods struggle with dynamic conditions and high-frequency content.

Purpose of the Study:

To develop and validate a visual echo cancellation technique for full-duplex projector-camera systems.
To address limitations of current methods in handling complex display surfaces and projector/camera responses.
To ensure robustness against registration errors and quantization for clear display of high-frequency content.

Main Methods:

An offline calibration procedure was employed to create a lookup table detailing the geometric and photometric transfer between projector and camera.

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During runtime, captured video data is processed using calibration information to identify and suppress visual echo.

The method was designed to handle full-color images and diverse surface reflectances.

Main Results:

The developed approach effectively cancels visual echo in real-time projector-camera systems.
The method demonstrated robustness against geometric registration errors and quantization effects.
Accurate cancellation was achieved across various display surfaces and under different photometric conditions.

Conclusions:

The proposed visual echo cancellation technique significantly enhances telecollaboration by improving the quality of projected content.
The method's robustness and accuracy make it suitable for applications requiring high-frequency content display, such as text and drawings.
This work provides a practical solution for a persistent challenge in interactive visual systems.