We introduce a 3D human pose estimation method from single image, based on a hierarchical Bayesian non-parametric model. The proposed model relies on a representation of the idiosyncratic motion of human body parts, which is captured by a subdivision of the human skeleton joints into groups. A...
04b Atto di convegno in volume
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A wearable device for capturing 3D gaze information in indoor and outdoor environments is proposed. The hardware and software architecture of the device provides an estimate in quasi-real-time of 2.5D points of regard (POR) and then lift their estimations to 3D, by projecting them into the 3D...
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A methodology for 3D surface modeling from a single image is proposed. The principal novelty is concave and specular surface modeling without any externally imposed prior. The main idea of the method is to use BRDFs and generated rendered surfaces, to transfer the normal field, computed for the...
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Our work consists in finding a way to recognize activities performed by two people that collaborate in a working environment. Starting from results obtained in the past years by Gong, Medioni and other authors, we go a step forward, trying to construct a learning function that is able to generalize...
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In this work we consider 3D point sets, which in a typical setting represent unorganized point clouds. Segmentation of these point sets requires first to single out structural components of the unknown surface discretely approximated by the point cloud. Structural components, in turn, are surface...
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We propose a novel approach to human action recognition, with motion capture data (MoCap), based on grouping sub-body parts. By representing configurations of actions as manifolds, joint positions are mapped on a subspace via principal geodesic analysis. The reduced space is still highly...
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We introduce a novel framework for modeling articulated objects based on the aspects of their components. By decomposing the object into components, we divide the problem in smaller modeling tasks. After obtaining 3D models for each component aspect by employing a shape deformation paradigm, we...
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