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Maya Dimitrova, Ch. Roumenin, Petia Radeva, David Rotger, & Juan J. Villanueva. (2003). Multimodal Intelligent System for Cardiovascular Diagnosis.
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David Guillamet, B. Moghaddam, & Jordi Vitria. (2003). Modeling High-Order Dependencies in Local Appearance Models.
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David Guillamet, B. Moghaddam, & Jordi Vitria. (2003). Higher-Order Dependencies in Local Appearance Models.
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David Guillamet, & Jordi Vitria. (2003). An Experimental Evaluation of K-nn for Linear Transforms of Positive Data. In In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science. 2652:317–325.
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Jordi Gonzalez, J. Varona, Xavier Roca, & Juan J. Villanueva. (2003). Automatic Keyframing of Human Actions for Computer Animation.
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Josep Llados, & Gemma Sanchez. (2003). Symbol Recognition Using Graphs.
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D. Lloret, Joan Serrat, Antonio Lopez, & Juan J. Villanueva. (2003). Ultrasound to MR Volume Registration for Brain Sinking Measurement.
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David Masip, & Jordi Vitria. (2003). An Experimental Comparision of Dimensionality Reduction for Face Verification Methods.
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David Masip, & Jordi Vitria. (2003). On the Nearest Neighbor Approach for Gender Recognition.
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Jordi Gonzalez, J. Varona, Xavier Roca, & Juan J. Villanueva. (2003). A Human Action Comparison Framework for Motion Understanding.
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Jordi Gonzalez, J. Varona, Xavier Roca, & Juan J. Villanueva. (2003). Human Sequence Evaluation: towards Knowledge-based Scene Interpretations.
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D. Lloret, Joan Serrat, Antonio Lopez, & Juan J. Villanueva. (2003). Ultrasound to magnetic resonance volume registration for brain sinking measurement.
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David Masip, & Jordi Vitria. (2003). On the Nearest Neighbor Approach for Gender Recognition.
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J. Martinez, Eva Costa, P. Herreros, Antonio Lopez, & Juan J. Villanueva. (2003). TV-Screen Quality Inspection by Artificial Vision.
Abstract: A real-time vision system for TV screen quality inspection is introduced. The whole system consists of eight cameras and one processor per camera. It acquires and processes 112 images in 6 seconds. The defects to be inspected can be grouped into four main categories (bubble, line-out, line reduction and landing) although there exists a large variability among each particular type of defect. The complexity of the whole inspection process has been reduced by dividing images into smaller ones and grouping the defects into frequency and intensity relevant ones. Tools such as mathematical morphology, Fourier transform, profile analysis and classification have been used. The performance of the system has been successfully proved against human operators in normal production conditions.
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J. Martinez, Eva Costa, P. Herreros, F. Javier Sanchez, & Ramon Baldrich. (2003). A Modular and Scalable Architecture for PC-Based Real-Time Vision Systems. Real–Time Imaging, 9: 99–112 (IF: 0.512).
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