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Generalized assorted camera arrays: robust cross-channel registration and applications.

Jason Holloway, Kaushik Mitra, Sanjeev J Koppal

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |December 23, 2014
    PubMed
    Summary

    Generalized assorted camera (GAC) arrays offer flexible multimodal imaging, overcoming limitations of generalized assorted pixels (GAP). A novel normalized gradient cost function enables accurate cross-channel registration for GAC systems.

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    Area of Science:

    • Optics and Imaging
    • Computer Vision
    • Sensor Technology

    Background:

    • Generalized assorted pixels (GAP) enable multimodal imaging but have fabrication and configuration limitations.
    • Existing multimodal registration methods suffer from errors, especially with complex scene geometry.

    Purpose of the Study:

    • Introduce generalized assorted camera (GAC) arrays as a flexible alternative to GAP for multimodal imaging.
    • Develop a robust cross-channel registration method for GAC systems.
    • Demonstrate the potential of GAC arrays in various imaging applications.

    Main Methods:

    • Proposed GAC arrays utilize external, interchangeable filters for flexible multimodal imaging.
    • Developed a novel cross-channel matching cost function based on aligning normalized gradients.
    • Achieved subpixel cross-channel correspondences for complex scene geometries.

    Main Results:

    • GAC arrays offer easier implementation and application-specific flexibility compared to GAP.
    • The normalized gradient cost function significantly improves cross-channel registration accuracy.
    • Demonstrated successful applications in low-light imaging, postcapture refocusing, and hyperspectral imaging.

    Conclusions:

    • GAC arrays represent a promising advancement in multimodal imaging technology.
    • The proposed registration method effectively addresses key challenges in GAC systems.
    • GAC arrays with accurate registration open possibilities for novel imaging applications.