We used Auditory/visual masks to investigate how the availability of speech signals governs speech perception. Stimuli were videos of a talker uttering sentences. The auditory mask consisted of speech shaped noise; the visual mask, a circular patch obscuring talker’s mouth region. Auditory signals were quantified by the glimpse proportion (GP); visual signals by visual entropy (VE), a measure b...

According to the American Humane Association, millions of cats and dogs are lost yearly. Only a few thousand them found returned home. In this work, we use deep learning help expedite procedure finding dogs, for which new dataset is collected. We applied transfer methods on different convolutional neural networks species classification animal identification. The framework consists seven sequent...

Face identification is becoming a well-accepted technology for access control applications, both in the real or virtual world. Systems based on this must deal with persistent challenges of classification algorithms and impersonation attacks performed by people who do not want to be identified. Morphing often selected conduct such since it allows modification features an original subject’s image...

Studies of the inverted-face effect typically use photos as stimuli. Inverting photos not only misorients the face but also reverses important shading and shadow cues. We decoupled the influence of spatial orientation and the direction of lighting in three experiments and found that the relation between these factors varied with the task given to observers. When the task required identification...

It is often useful to have a machine that performs the pattern recognition. In particular, machines which can read face images are very cost, effectively. A machine that reads passenger passports can process more passports than a human being in the same time (Hsu,2002). This kind of application saves time and money, and eliminates the requirement that a human performs such as the repetitive tas...