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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 M. S. Kell and G. Cristobal and H. Neumann Neural mechanisms for segregation and recovering of intrinsic images features ABSTRACT We present a single-scale architecture for both segregation and recovering of intrinsic image features and brightness perception. Specifically, a given intensity (or grey scale) image is first analyzed for texture (here defined as small-scale even symmetric features), surfaces (small-scale odd symmetric features) and gradients (large-scale even and odd symmetric features). In this way the image is segregated. Subsequently, textures, surfaces and gradients are recovered by corresponding neural circuits. The proposed architecture may serve as a generic building block for a variety of early vision tasks such as, for example, denoising, efficient coding, as well as mid-level tasks that build on the results from the preceding processing stages.

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