Answer :
Final answer:
Facial-recognition systems utilize abstraction to create a digital representation of a person's face for the purpose of matching and identification. This is done by focusing on specific features and using specialized inference rules, ignoring all other irrelevant data. Therefore, the correct answer is option 2).
Explanation:
The statement that best describes how facial-recognition systems use abstraction is: Facial-recognition systems use abstraction to create a digital representation of a person's face. This is because these systems abstract facial features and convert them into a digital format that can be compared and analyzed against a database. The abstraction process allows the system to ignore irrelevant information and focus on specific features that are used for identifying individuals.
Facial-recognition systems by design abstract human faces into a form that is readable and comparable by computational methods. Specific inference rules are applied which are tailored only to detect and process facial features, enabling the system to match faces with a previously established database, typically for identification or verification purposes. This abstraction is relevant in a wide variety of applications, including security surveillance as seen in China's 'Sharp Eyes' program.
Therefore, abstraction in facial recognition is centered on forming a digital representation of a person's face based on specific, consistent, and precise inference rules and input formats, disregarding all superfluous data that do not meet the input conditions.
