Exploració per autor "Orozco, Francisco J."
Ara es mostren els items 1-5 de 5
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Assessing confidence in cased based reuse step
García, Fabio A.; Orozco, Francisco J.; Gonzàlez, Jordi; Arcos, Lluis (IOS Press, 2007)
Capítol de llibre
Accés obertCase-Based Reasoning (CBR) is a learning approach that solves current situations by reusing previous solutions that are stored in a case base. In the CBR cycle the reuse step plays an important role into the problem solving ... -
Deterministic and stochastic methods for gaze tracking in real-time
Orozco, Francisco J.; Roca, Francesc Xavier; Gonzàlez, Jordi (Springer, 2007)
Capítol de llibre
Accés obertPsychological evidence demonstrates how eye gaze analysis is requested for human computer interaction endowed with emotion recognition capabilities. The existing proposals analyse eyelid and iris motion by using colour ... -
Finding faces in color images through primitive shape features
Al, Murad; Orozco, Francisco J.; Amato, Ariel; Roca, Francesc Xavier; Gonzàlez, Jordi (s. n., 2007)
Text en actes de congrés
Accés obertFace detection is a primary step in many applications such as face recognition, video surveillance, human computer interface, and expression recognition. Many existing detection techniques suffer under scale variation, ... -
Hierarchical eyelid and face tracking
Orozco, Francisco J.; Gonzàlez, Jordi; Rius, Ignasi; Roca, Francesc Xavier (Springer Verlag, 2007)
Capítol de llibre
Accés obertMost applications on Human Computer Interaction (HCI) require to extract the movements of user faces, while avoiding high memory and time expenses. Moreover, HCI systems usually use low-cost cameras, while current face ... -
Spatio-temporal reasoning for reliable facial expression interpretation
Orozco, Francisco J.; García, Fabio A.; Arcos, Lluis; Gonzàlez, Jordi (Bielefeld University, 2007)
Text en actes de congrés
Accés obertUnderstanding human behaviours and emotions has received contributions from image analysis and pattern recognition techniques in order to tackle this challenge. The most popular facial expression classifiers deal with ...