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Carnegie Mellon Robotics Institute

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Abstract

Real-world scenes contain many interacting phenomena that lead to complex images which are difficult to interpret automatically. Some effects are best described in the spatial domain, while others are more naturally expressed in frequency. In order to resolve this dichotomy, the authors present the combined space/frequency representation which, for each point in an image, shows the spatial frequencies at that point. This representation is useful for developing theories about many important vision phenomena, leading to deeper understanding and better algorithms. The authors show how the representation can be used for the shape from texture problem and to analyze aliasing simply and naturally. The space/frequency representation should be a key aid in untangling the complex interaction of phenomena in images, allowing automatic understanding of real-world scenes.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Calibrated Imaging Lab

Associated Project(s): Spatial Frequency

Text Reference

John Krumm and Steven Shafer, "Local spatial frequency analysis of image texture," Proceedings of the Third International Conference on Computer Vision, December, 1990, pp. 354 - 358.

BibTeX Reference

@inproceedings{Krumm_1990_4097,
   author = "John Krumm and Steven Shafer",
   title = "Local spatial frequency analysis of image texture",
   booktitle = "Proceedings of the Third International Conference on Computer Vision",
   pages = "354 - 358",
   month = "December",
   year = "1990",
}

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