بررسی روش های تشخیص چهره مبتنی بر الگوریتم های یادگیری عمیق
الموضوعات :
پژمان غلام نژاد
1
(دانشگاه علوم و فنون هوایی شهید ستاری)
احسان شریفی
2
(دانشگاه هوایی شهید ستاری)
الکلمات المفتاحية: تشخیص چهره عمیق, الگوریتمِ HMAX, الگوریتمِ B-HMAX, روش های تشخیصِ چهره, فناوریِ تشخیصِ چهره مبتنی بر بیومتریک.,
ملخص المقالة :
امروزه با رشد فناوری اطلاعات، تشخیص چهره یک مساله چالش برانگیز در زمینه تجزیه و تحلیل تصویر و بینایی رایانه است و به همین دلیل در چند سال گذشته به خاطر کاربردهای فراوان در حوزه های مختلف مورد توجه بسیاری قرار گرفته است. روش های زیادی برای پیاده سازی این فناوری مورد استفاده قرار می گیرد، اما روش کلی بر مبنای مقایسه مشخصه های خاصی از چهره افراد با یک پایگاه داده یا مجموعه اطلاعاتی از پیش ذخیره شده ( که می تواند حاصل نمونه گیری از چهره افراد باشد) است. فناوری های مبتنی بر بیومتریک در سال‌های اخیر به عنوان امیدوارکننده ترین گزینه برای تشخیص هویت افراد، شناخته شده اند. به منظور پیاده-سازی تشخیص چهره از روش های متفاوتی استفاده می شود. در این مقاله، مروری بر برخی از روش های شناخته شده پردازش تصویر انجام می شود و مزایا و معایب طرح های ذکر شده در آن بررسی شده است. همچنین فناوری های پیاده سازی سیستم های تشخیص چهره معرفی می گردد. سپس الگوریتم های تشخیص چهره بر اساس مشخصه های بیومتریک دسته بندی و معرفی می شوند. علاوه بر این، ضمن معرفی الگوریتم های مدل سلسله مراتبی و ایکس، مدل سلسله مراتبی باینری و ایکس، به بیانِ مفهوم ساختار تشخیصِ چهره ی عمیق، پرداخته شده است و برخی از جدیدترین الگوریتم های تولید شده برای این منظور ذکر شده است. در پایان، برخی از مهم ترین موارد کاربرد سیستم های تشخیص چهره مورد بررسی قرار گرفته است. هدف از این مقاله، معرفی و بیان الگوریتم های یادگیری عمیق در تشخیص چهره و بیان چالش های موجود می باشد.
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