Incremental refinement of image salient-point detection

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Yiannis Andreopoulos, Ioannis Patras

Abstract

Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationally efficient detectors proposed for this task use the autocorrelation matrix of the localized image derivatives. Although the performance of such detectors and their suitability for particular applications has been studied in relevant literature, their behavior under limited input source (image) precision or limited computational or energy resources is largely unknown. All existing frameworks assume that the input image is readily available for processing and that sufficient computational and energy resources exist for the completion of the result. Nevertheless, recent advances in incremental image sensors or compressed sensing, as well as the demand for low-complexity scene analysis in sensor networks now challenge these assumptions. In this paper, we investigate an approach to compute salient points of images incrementally, i.e., the salient point detector can operate with a coarsely quantized input image representation and successively refine the result (the derived salient points) as the image precision is successively refined by the sensor. This has the adv...Continue Reading

References

Jan 27, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jesus MaloEero P Simoncelli
Jun 10, 2006·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Antonios OikonomopoulosMaja Pantic
Feb 12, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·E Y Lam, J W Goodman

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Citations

Mar 20, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Davide Anastasia, Yiannis Andreopoulos

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