دوره 17، شماره 3 - ( 9-1399 )
جلد 17 شماره 3 صفحات 156-141 |
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Ahmadi M A, Dianat R. Introducing a method for extracting features from facial images based on applying transformations to features obtained from convolutional neural networks. JSDP 2020; 17 (3) :141-156
URL: http://jsdp.rcisp.ac.ir/article-1-837-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-837-fa.html
احمدی مرتضی علی، دیانت روح الله. ارائه یک روش استخراج ویژگی از تصاویر چهره مبتنی بر اعمال تبدیل روی ویژگی‌‌های به‌‌دست‌‌آمده از شبکه‌‌های عصبی کانولوشن. پردازش علائم و داده‌ها. 1399; 17 (3) :141-156
گروه مهندسی IT، دانشکده فنی و مهندسی، دانشگاه قم
چکیده: (2711 مشاهده)
در این مقاله، یک روش استخراج ویژگی از داده ارائه شده است. ایده پیشنهادی، کلی بوده و قابل به‌کارگیری در استخراج ویژگی از هر نوع داده است. در این روش، بردار ویژگی آزمون، به ویژگی‌‌های موجود در همه دستهها اضافه و سپس تبدیل مناسبی روی مجموعه ویژگی‌‌های هر دسته (با احتساب بردار آزمون اضافه‌شده)، اعمال میشود. نحوه اعمال تبدیل و مجموعه اقدامات بعد از آن، به‌نحوی صورت میگیرد که موجب میشود ویژگی‌‌های موجود در دستهای که داده آزمون در‌واقع متعلق به آن است، دچار آسیب چندانی نشود و در مقابل، ویژگی‌‌های دستههایی که داده آزمون متعلق به آنها نیست، دچار تخریب شوند. به‌طور شهودی میتوان گفت، این امر، منجر به افزایش نرخ پذیرش به‌درستی (TP) در الگوریتمهای دستهبندی یا شناسایی الگو میشود. به‌عنوان یک نمونه، ایده پیشنهادی، در مسأله شناسایی چهره با استفاده از شبکه‌‌های عصبی کانولوشن (CNN)، به‌عنوان یک پسپردازش و ویژگی‌‌های حاصل، به‌عنوان ویژگی‌‌های نهایی، برای عملیات شناسایی چهره به‌کار گرفته شد. نتایج پیاده‌سازی، نشاندهنده بهبود حدود %4/3 روی پایگاه داده LFW است.
نوع مطالعه: پژوهشي |
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مقالات پردازش تصویر
دریافت: 1397/1/21 | پذیرش: 1398/6/11 | انتشار: 1399/9/15 | انتشار الکترونیک: 1399/9/15
دریافت: 1397/1/21 | پذیرش: 1398/6/11 | انتشار: 1399/9/15 | انتشار الکترونیک: 1399/9/15
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