As strange as it sounds, our physical appearances can now verify payments, grant access and improve existing security systems. Facial biometrics are gradually being applied to more industries, disrupting design, manufacturing, construction, law enforcement and healthcare. How is facial recognition software affecting these different sectors, and who are the companies and organisations behind its development? Online shopping and contactless cards are just two examples that demonstrate the seamlessness of postmodern purchases. Facial recognition is already used in store and at ATMs, but the next step is to do the same for online payments. Chinese ecommerce firm Alibaba and affiliate payment software Alipay are planning to apply the software to purchases made over the Internet.
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The Neuroscience of Face Processing and Identification in Eyewitnesses and Offenders
Object recognition is the ability to perceive an object's physical properties such as shape, colour and texture and apply semantic attributes to it such as identifying the object as an apple. This process includes the understanding of its use, previous experience with the object, and how it relates to others. One model of object recognition [ which? Within these stages, there are more specific processes that take place to complete the different processing components. In addition, other existing models propose integrative hierarchies top-down and bottom-up , as well as parallel processing, as opposed to this general bottom-up hierarchy. Visual recognition processing has been typically viewed as a bottom-up hierarchy in which information is processed sequentially with increasing complexities, where lower-level cortical processors, such as the primary visual cortex , are at the bottom of the processing hierarchy and higher-level cortical processors, such as the inferotemporal cortex IT , are at the top, where recognition is facilitated.
Context effects in episodic studies of verbal and facial memory: A review
Consequently, the perception of facial expressions has typically been investigated using isolated, de-contextualized, static pictures of facial expressions that maximize the distinction between categories. Furthermore, situational context may be provided by the perceiver, including already present social information gained from affective learning and implicit processing biases such as race bias. Thus, the perception of facial expressions is presumably always influenced by contextual variables.
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