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Titlebook: Image Analysis and Processing - ICIAP 2017; 19th International C Sebastiano Battiato,Giovanni Gallo,Filippo Stanco Conference proceedings 2

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Ian Tu,Abhir Bhalerao,Nathan Griffiths,Mauricio Delgado,Thomas Popham,Alex Mouzakitisl practice, has become an increasingly complex undertak­ ing. Recent dramatic developments in medicine have given rise to both theoretical controversies and practical dilemmas. Society is struggling with new scientific, economic, cultural, and legal issues. The establishment of a series such as this
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Edoardo Ardizzone,Alessandro Bruno,Francesco Gugliuzzaessions from individuals who claim to have seen mutilated body parts, participated in mutilating children and removing body parts. The study employed an exploratory design using qualitative methods especially in-depth interviews and participatory workshops. During 2 months of fieldwork, the research
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3D Face Recognition in Continuous Spacesns into a functional representation, performing all the subsequent processing in the continuous space. To this end, a model alignment problem is first solved by combining graph matching and clustering. Fiducial points of the face are initially detected by analysis of continuous functions computed on
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Person Re-Identification Using Partial Least Squares Appearance Modellingage, the best methods improve performance by prioritising features from foreground regions during the feature extraction stage. In this paper, we propose the use of a Partial Least Squares Regression model to predict the skeleton of a person, allowing us to prioritise features from a person’s limbs
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Gender and Expression Analysis Based on Semantic Face Segmentationation of the human face could provide a good information about these mid-level features, due to the strong interaction existing between facial parts and these features. According to this idea, in this paper we present a gender and face expression estimator, based on a semantic segmentation of the hu
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