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Sergio Escalera, Oriol Pujol, & Petia Radeva. (2008). Sub-Class Error-Correcting Output Codes. In Computer Vision Systems. 6th International Conference (Vol. 5008, 494–504).
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Xavier Baro, & Jordi Vitria. (2008). Weighted Dissociated Diploes: An Extended Visual Feature Set. In Computer Vision Systems. 6th International Conference ICVS (Vol. 5008, 281–290). LNCS.
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Partha Pratim Roy, Umapada Pal, & Josep Llados. (2008). Recognition of Multi-oriented Touching Characters in Graphical Documents. In Computer Vision, Graphics & Image Processing, 2008. Sixth Indian Conference on, (Vol. 16, 297–304).
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Paramveer S. Dhillon, Francisco Javier Orozco, & Jordi Gonzalez. (2008). Real-Time Monocular Face Tracking Using and Active Camera.
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Mathieu Nicolas Delalandre, Ernest Valveny, & Josep Llados. (2008). Performance Evaluation of Symbol Recognition and Spotting Systems: An Overview.
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Murad Al Haj. (2008). Face Detection in Color Images Using Primitive Shape Features.
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Carles Fernandez, & Jordi Gonzalez. (2008). A Multilingually-Extensible Module for Natural Language Generation.
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Bhaskar Chakraborty. (2008). View-Invariant Human-Body Detection with Extension to Human Action Recognition using Component Wise HMM of Body Parts.
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Pierluigi Casale. (2008). Social Environment Description from Data Collected with a Wearable Device.
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Francesco Ciompi. (2008). ECOC-based Plaque Classification using In-vivo and Exvivo Intravascular Ultrasound Data.
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Marco Pedersoli. (2008). A Multiresolution Cascade for Human Detection.
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Ognjen Rudovic, & Jordi Gonzalez. (2008). Building Temporal Templates for Human Behaviour Classification.
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Dani Rowe. (2008). Towards Robust Multiple-Target Tracking in Unconstrained Human-Populated Environments.
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Carme Julia. (2008). Missig Data Matrix Factorization Addressing the Structure from Motion Problem.
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Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat, & Antonio Lopez. (2008). Rank Estimation in 3D Multibody Motion Segmentation. Electronic Letters, 44(4), 279–280.
Abstract: A novel technique for rank estimation in 3D multibody motion segmentation is proposed. It is based on the study of the frequency spectra of moving rigid objects and does not use or assume a prior knowledge of the objects contained in the scene (i.e. number of objects and motion). The significance of rank estimation on multibody motion segmentation results is shown by using two motion segmentation algorithms over both synthetic and real data.
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