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Multi-scale cortical keypoint representation for attention and object detection

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Resumo(s)

Keypoints (junctions) provide important information for focus-of-attention (FoA) and object categorization/recognition. In this paper we analyze the multi-scale keypoint representation, obtained by applying a linear and quasi-continuous scaling to an optimized model of cortical end-stopped cells, in order to study its importance and possibilities for developing a visual, cortical architecture.We show that keypoints, especially those which are stable over larger scale intervals, can provide a hierarchically structured saliency map for FoA and object recognition. In addition, the application of non-classical receptive field inhibition to keypoint detection allows to distinguish contour keypoints from texture (surface) keypoints.

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Visão computorizada Córtex visual

Contexto Educativo

Citação

2nd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2005). - Estoril, Lisboa : Springer LNCS 3523, 7-9 June 2005. - LNCS 3523. - p. 255-262

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