Salvador B. López Mármol

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This paper makes use of the continuous eccentricity transform to perform 3D shape matching. The eccentricity transform has already been proved useful in a discrete graph-theoretic setting and has been applied to 2D shape matching. We show how these ideas extend to higher dimensions. The eccentricity transform is used to compute descriptors for 3D shapes.(More)
In this paper we focus on the problem of improving the performance of object tracking in motion sequences by exploiting the spatial and temporal structure of the scene. First we show typical examples where tracking methods not using structural information tend to fail. For that purpose we recorded video sequences and tried to track the parts of a human with(More)
In view of the growing complexity of computational tasks and their design, we propose that certain interactive systems may be better designed by utilizing computational strategies based on the study of the human brain. Compared with current engineering paradigms, brain theory offers the promise of improved self-organization and adaptation to the current(More)
A framework for mapping a polar-like coordinate system to a non-rigid shape is presented. Using a graph pyramid, a binary shape is decomposed into connected parts, based on its structure as captured by the eccentricity transform. The decomposition is used to derive domains for the angular like coordinate. A closest point search is employed to find point(More)
Tracking of spatially extended targets with variable shape, pose and appearance is a highly challenging task. In this work we propose a novel tracking approach using an incrementally generated part-based description to obtain a specific representation of target structure. The hierarchical part-based representation is learned in a generative manner from a(More)
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