We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly...
Massimiliano Pierobon, Marco Marcon, Augusto Sarti...
We propose novel thinning conditions for grayscale 3D images that do not rely on image thresholding or segmentation. The resulting grayscale skeletonization routine extracts a top...
We present a novel classification technique for volume visualization that takes the shape of volumetric features into account. The presented technique enables the user to distingu...
Abstract. The paper proposes a novel approach for a scale-dependent geometric simplification of 3D building models that are an integral part of virtual cities. In contrast to real-...
An approach for estimating 3D head orientation in a monocular image sequence is proposed. The approach employs recently developed image-based parameterized tracking for face and f...