Titlebook: Biometric ID Management and Multimodal Communication; Joint COST 2101 and Julian Fierrez,Javier Ortega-Garcia,Marcos Faundez Conference pr

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ATOPY

Manifold Learning for Video-to-Video Face Recognitionoach based on manifold learning. The idea consists of first learning the intrinsic personal characteristics of each subject from the training video sequences by discovering the hidden low-dimensional nonlinear manifold of each individual. Then, a target face video sequence is projected and compared

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MORPH: Development and Optimization of a Longitudinal Age Progression Database is primarily used to solve age-related problems of facial recognition systems. The data corpus provides the largest set of publicly available longitudinal adult images with supporting metadata and is still expanding; longitudinal spans range from several days to over twenty years. The metadata prov

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Audiovisual Alignment in a Face-to-Face Conversation Translation Frameworkproposed and the process of audiovisual speech synthesis is described. The proposed method has been evaluated in the VideoTRAN translating videophone environment, where an H.323 software client translating videophone allows for the transmission and translation of a set of multimodal verbal and nonve

Hirsutism

Maximising Audiovisual Correlation with Automatic Lip Tracking and Vowel Based Segmentationh processing. In this work, a state of the art Semi Adaptive Appearance Model (SAAM) approach developed by the authors is used for automatic lip tracking, and an adapted version of our vowel based speech segmentation system is employed to automatically segment speech. Canonical Correlation Analysis

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