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Publication
Multi-scale cortical keypoint representation for attention and object detection
Advisor(s)
Abstract(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.
Description
Keywords
Visão computorizada Córtex visual
Citation
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
Publisher
Estoril, Lisboa