Marcos del Pozo-Baños

Learn More
This work studies the intra-bimodal face-based biometric fusion approach composed of the thermal and spatial domains. The distinctive feature of this work is the use of a single camera with two sensors which returns a unique image with thermal and visual images at a time, as opposed to the-state-of-the-art, for example the multibiometric modalities and(More)
Saving earth's biodiversity for future generations is an important global task, where automatic recognition of pollen species by means of computer vision represents a highly prioritized issue. This work focuses on analysis and classification stages. A combination of geometrical measures, Fourier descriptors of morphological details using Discrete Cosine(More)
Authors present an approach based on the transformation of the Cepstral domain on Hidden Markov Model, which is employed for the automatic diagnosis of the Obstructive Sleep Apnea syndrome. The approach includes an Electrocardiogram artefacts removal and R wave detection stage. In addition, the system is modeled by a transformation of the Cepstral domain(More)
A feature reduction system based on Discriminative Common Vector is presented and evaluated in this paper. The validation of this system was made with three databases, first one is DNA markers and the other two are The ORL Database of Face and The Yale Face Database. Moreover, a supervised classification system has been implemented with three different(More)