| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
T. Kurita and T. Takahashi and Y. Ikeda
ABSTRACT
This paper proposes a neural network classifier which can automatically detect the occluded regions in the given image and replace that regions with estimated values. An auto-associative memory is used to detect outliers, such as pixels in the occluded regions. Certainties of each pixels are estimated by comparing the input pixels with the outputs of the auto-associative memory. The input values to the associative memory are replaced with the new values which are defined depending on the certainties. By repeating this process, we can obtain an image in which the pixel values of the occluded regions are replaced with the estimates. The proposed classifier is designed by integrating this associative memory with a simple classifier. |
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