• closedAccess   A model for the qualitative description of images based on visual and spatial features 

      Falomir, Zoe; Museros, Lledó; Gonzalez Abril, Luis; Escrig Monferrer, María Teresa; Ortega, Juan Antonio Elsevier (2012-06)
      An approach that provides a qualitative description of any image is presented in this paper. The main visual features (shape and colour) and the main spatial features (fixed orientation, relative orientation and topology) ...
    • closedAccess   Algoritmos de visión por ordenador 

      Fenollosa Egea, Antonio José Universitat Jaume I (2015-02-11)
      Este trabajo ha consistido en la implementaci on de una serie de algoritmos de visi on por ordenador con el objetivo de usarlos en un sistema de visi on por ordenador industrial para implementar diferentes aplicaciones ...
    • openAccess   Assisting therapists in assessing small animal phobias by computer analysis of video-recorded sessions 

      Castelló, Vicente; Traver Roig, Vicente Javier; Serrano-Zárate, Berenice; Montoliu Colás, Raul; Botella, Cristina Springer (2017)
      Behavioural Avoidance Tests (BATs) are commonly used for assessing phobias. While easy to deploy, these tests have some practical difficulties. For instance, therapists have to make distance estimations that are hard to ...
    • openAccess   Cocaine-Induced Preference Conditioning: a Machine Vision Perspective 

      Traver Roig, Vicente Javier; Pla, Filiberto; MIQUEL, MARTA; Carbó Gas, María; Gil-Miravet, Isis; Guarque-Chabrera, Julian Springer (2018)
      Existing work on drug-induced synaptic changes has shown that the expression of perineuronal nets (PNNs) at the cerebellar cortex can be regulated by cocaine-related memory. However, these studies on animals have mostly ...
    • openAccess   Dealing with inaccurate face detection for automatic gender recognition with partially occluded faces 

      Andreu Cabedo, Yasmina; García-Sevilla, Pedro; Mollineda, Ramón A. Springer Verlag (Germany) (2009)
      Gender recognition problem has not been extensively studied in situations where the face cannot be accurately detected and it also can be partially occluded. In this contribution, a comparison of several characterisation ...
    • closedAccess   Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning 

      Vélez Rivera, Nayeli; Gómez Sanchis, Juan; Chanona Pérez, Jorge; Carrasco, Juan José; Millán Giraldo, Mónica; Lorente, Delia; Cubero, Sergio; Blasco, José Elsevier (2014-06)
      Mango fruit are sensitive and can easily develop brown spots after suffering mechanical stress during postharvest handling, transport and marketing. The manual inspection of this fruit used today cannot detect the damage ...