Parameterised structured light imaging for depth edge detection

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Parameterised structured light imaging for depth edge detection

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© The Institution of Engineering and Technology
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This reported research features parameterised structured light imaging that is practically useful for detecting depth edges. Given input parameters such as the range of distances of an object from the camera/projector and minimum detectable depth difference, the presented method is capable of computing an optimal pattern width and the number of structured light images that are needed to detect all depth edges in the specified range of distances that have at least the given detectable depth difference. Application of this parameter control to the detection of silhouette edges for visual hull reconstruction shows the effectiveness of the method.

Inspec keywords: image reconstruction; edge detection

Other keywords: optimal pattern width; visual hull reconstruction; detectable depth difference; structured light imaging; depth edge detection

Subjects: Pattern recognition; Image processing and restoration; Image recognition

References

    1. 1)
      • Zhao, S., Lee, H.: `Human silhouette extraction based on HMM', Proc. of 18th Int. Conf. on Pattern Recognition 2006, Hong Kong, China, 2, p. 994–997.
    2. 2)
      • J. Park , C. Kim , J. Na , J. Yi , M. Turk . Using structured light for efficient depth edge detection. Image Vis. Comput. , 1449 - 1465
    3. 3)
      • R. Szeliski . Rapid octree construction from image sequences. CVGIP, Image Underst. , 1 , 23 - 32
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2010.2791
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