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Wearable cameras can gather first-person images of the environment, opening new opportunities for the development of systems able to assist the users in their daily life. This paper studies the problem of recognizing personal contexts from images acquired by wearable devices, which finds useful applications in daily routine analysis and stress monitoring. To assess the influence of different device-specific...
Face analysis is of great interest in the context of digital signage to understand soft biometric of a person. Among the others information gathered from a face, the age of a person is still an open challenging problem. Face representation takes an important role for real time age discrimination. LBP descriptor and the related variants (e.g., CLBP) have been demonstrated to obtain the state-of-the-art...
This paper addresses the problem of shape classification and proposes a method able to exploit peculiarities of both, local and global shape descriptors. In the proposed shape classification framework, the silhouettes of symbols are firstly described through Bags of Shape Contexts. This shape signature is used to solve correspondence problem between points of two shapes. The obtained correspondences...
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