Geometric Correction of Projection Using Structured Light and Sensors Embedded Board
نویسنده
چکیده
Computer vision based projector-camera calibration approaches usually involve with complex geometry transformation and trivial operations, mostly inappropriate for scenarios that under poor illumination or interfering background. An automatic geometric correction method for projector using projection board embedded with optic sensors is proposed, aiming at simplifying the calibration operations and improving the robustness of geometric correction. By capturing the Gray-coded structured light frames, the correspondence between the points of interest on the projection board and the pixels on image plane could be obtained; furthermore, homograph matrixes are exploited to transform the images to be projected. A special one-to-many hardware design paradigm is adopted so that multiple projection boards are able to connect to one renderer node simultaneously. To further enhance the projection precision against each projection board, a self-adaptive illumination density threshold determination method is used. Copyright © 2014 IFSA Publishing, S. L.
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