Face Recognition
Artificial Intelligence - FACE RECOGNITION
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It is used to identify a person by recognition
his face. Now a days we are using Software to automate the process in systems. Those
are several types, those are given below.
Ø Recognition
from outdoor facial images.
Ø Recognition
from non-frontal facial images.
Ø Recognition
at low false accept/alarm rates.
Ø Understanding
why males are easier to recognize than females.
Ø Greater
understanding of the effects of demographic factors on performance.
Ø Development
of better statistical methods for understanding performance.
Ø Develop
improved models for predicting identification performance on very large
galleries.
Ø Effect
of algorithm and system training on covariate performance.
Ø Integration
of morphable models into face recognition performance.
Ø Understanding
the video sequences in FRVT 2002 did not improve performance.
Ø Face
recognition are using for government departments to easy their daily day
process.
Ø Face
recognition are using for security lock purpose also.
Anyone
who has seen the TV
show "Las Vegas" has seen facial recognition software in action. In
any given episode, the security department at the fictional Montecito Hotel and
Casino uses its video surveillance system to pull an image of a card counter,
thief or blacklisted individual. It then runs that image through the database
to find a match and identify the person. By the end of the hour, all bad guys
are escorted from the casino
or thrown in jail. But what looks so easy on TV doesn't always translate as
well in the real world.
In 2001, the Tampa Police
Department installed police
cameras equipped with facial recognition technology in their Ybor
City nightlife district in an attempt to cut down on crime in the area. The
system failed to do the job, and it was scrapped in 2003 due to
ineffectiveness. People in the area were seen wearing masks and making obscene
gestures, prohibiting the cameras from getting a clear enough shot to identify
anyone.
Boston's Logan Airport also ran two separate
tests of facial recognition systems at its security checkpoints using
volunteers. Over a three month period, the results were disappointing.
According to the Electronic
Privacy Information Center, the system only had a 61.4 percent
accuracy rate, leading airport officials to pursue other security options.
Humans have always had the innate ability
to recognize and distinguish between faces, yet computers only recently have
shown the same ability. In the mid 1960s, scientists began work on using the computer to recognize
human faces. Since then, facial recognition software has come a long way.
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