PUPPO , Enrico

We propose a method for extracting fiducial points from human faces that uses 3D information only and is based on two key steps: multi-scale curvature analysis, and the reliable tracking of features in a scale-space based on curvature. Our scale-space analysis, coupled to careful use of prior information based on variability boundaries of...

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We introduce the RGB Subdivision: an adaptive subdivision scheme for triangle meshes, which is based on the iterative application of local refinement and coarsening operators, and generates the same limit surface of the Loop subdivision, independently on the order of application of local operators. Our scheme supports dynamic selective...

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We present a method for producing quad-dominant subdivided meshes, which supports both adaptive refinement and adaptive coarsening. A hierarchical structure is stored implicitly in a standard half-edge data structure, while allowing us to efficiently navigate through the different level of subdivision. Subdivided meshes contain a majority of...

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The deep structure of scale-space of a signal refers to tracking the zero-crossings of differential invariants across scales. In classical approaches, feature tracking is performed by neighbor search between consecutive levels of a discrete collection of scales. Such an approach is prone to noise and tracking errors and provides just a coarse...

Spot heights and soundings explicitly indicate terrain elevation on cartographic maps. Cartographers have developed design principles for the manual selection, placement, labeling, and generalization of spot height locations, but these processes are work-intensive and expensive. Finding an algorithmic criterion that matches the cartographers'...

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