{"id":477177,"date":"2023-08-09T09:08:44","date_gmt":"2023-08-09T09:08:44","guid":{"rendered":""},"modified":"2023-09-05T11:14:14","modified_gmt":"2023-09-05T11:14:14","slug":"facial-recognition","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/facial-recognition\/","title":{"rendered":"\u9762\u90e8\u8bc6\u522b"},"content":{"rendered":"

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\u9762\u90e8\u8bc6\u522b\u7684\u5386\u53f2<\/h2>\n

\u9762\u90e8\u8bc6\u522b\u7684\u6982\u5ff5\u53ef\u4ee5\u8ffd\u6eaf\u5230 20 \u4e16\u7eaa 60 \u5e74\u4ee3\uff0c\u5f53\u65f6\u4f0d\u5fb7\u7f57\u00b7\u5a01\u5c14\u900a\u00b7\u5e03\u83b1\u7d22\u5f00\u53d1\u4e86\u4e00\u79cd\u7cfb\u7edf\uff0c\u80fd\u591f\u4f7f\u7528\u5170\u5fb7\u5e73\u677f\u7535\u8111\uff08\u4e00\u79cd\u53ef\u4ee5\u8bc6\u522b\u4eba\u7c7b\u7279\u5f81\u7684\u8bbe\u5907\uff09\u624b\u52a8\u5bf9\u9762\u90e8\u7167\u7247\u8fdb\u884c\u5206\u7c7b\u3002\u7136\u800c\uff0c\u76f4\u5230 20 \u4e16\u7eaa 70 \u5e74\u4ee3\uff0c\u4eba\u4eec\u624d\u5f00\u59cb\u63a2\u7d22\u9762\u90e8\u8bc6\u522b\u7684\u9996\u4e2a\u8ba1\u7b97\u6280\u672f\u3002<\/p>\n

21 \u4e16\u7eaa\uff0c\u8be5\u6280\u672f\u53d6\u5f97\u4e86\u91cd\u5927\u53d1\u5c55\uff0c\u4ee5\u7279\u5f81\u8138\u65b9\u6cd5\u7684\u5f15\u5165\u4e3a\u6807\u5fd7\uff0c\u8be5\u65b9\u6cd5\u662f\u4e00\u79cd\u6210\u529f\u7684\u56fe\u50cf\u4eba\u8138\u8bc6\u522b\u65b9\u6cd5\uff0c\u7531 Matthew Turk \u548c Alex Pentland \u7387\u5148\u63d0\u51fa\u3002\u540e\u6765\uff0c\u5728 2001 \u5e74\uff0c\u5f15\u5165\u4e86 3D \u4eba\u8138\u8bc6\u522b\uff0c\u89e3\u51b3\u4e86\u5149\u7167\u53d8\u5316\u548c\u56fe\u50cf\u4e2d\u4eba\u8138\u4f4d\u7f6e\u7684\u95ee\u9898\u3002<\/p>\n

\u5173\u4e8e\u9762\u90e8\u8bc6\u522b\u7684\u8be6\u7ec6\u4fe1\u606f<\/h2>\n

\u9762\u90e8\u8bc6\u522b\u662f\u751f\u7269\u8bc6\u522b\u6280\u672f\u7684\u4e00\u4e2a\u5b50\u96c6\uff0c\u5229\u7528\u72ec\u7279\u7684\u751f\u7406\u7279\u5f81\u8fdb\u884c\u8bc6\u522b\u3002\u5b83\u57fa\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u6a21\u5f0f\u8bc6\u522b\u548c\u673a\u5668\u5b66\u4e60\u7684\u539f\u7406\uff0c\u901a\u8fc7\u6570\u5b57\u56fe\u50cf\u6216\u89c6\u9891\u5e27\u6765\u8bc6\u522b\u6216\u9a8c\u8bc1\u4e2a\u4eba\u8eab\u4efd\u3002<\/p>\n

\u9762\u90e8\u8bc6\u522b\u6280\u672f\u901a\u8fc7\u626b\u63cf\u9762\u90e8\u6765\u5efa\u7acb\u9762\u90e8\u7279\u5f81\u2014\u2014\u4e00\u79cd\u8868\u793a\u4e00\u4e2a\u4eba\u9762\u90e8\u7ed3\u6784\u72ec\u7279\u6027\u7684\u6570\u5b66\u516c\u5f0f\u3002\u5b83\u901a\u5e38\u67e5\u770b\u8282\u70b9\u6216\u53ef\u533a\u5206\u7684\u6807\u5fd7\uff0c\u4f8b\u5982\u4e24\u773c\u4e4b\u95f4\u7684\u8ddd\u79bb\u3001\u9f3b\u5b50\u7684\u5bbd\u5ea6\u3001\u773c\u7a9d\u7684\u6df1\u5ea6\u3001\u98a7\u9aa8\u7684\u5f62\u72b6\u4ee5\u53ca\u4e0b\u988c\u7ebf\u7684\u957f\u5ea6\u3002<\/p>\n

\u9762\u90e8\u8bc6\u522b\u7684\u5185\u90e8\u7ed3\u6784<\/h2>\n

\u4eba\u8138\u8bc6\u522b\u6280\u672f\u5305\u62ec\u51e0\u4e2a\u9636\u6bb5\uff1a<\/p>\n

    \n
  1. \u68c0\u6d4b<\/strong>\uff1a\u8bc6\u522b\u56fe\u50cf\u4e2d\u7684\u8138\u90e8\u3002<\/li>\n
  2. \u7ed3\u76df<\/strong>\uff1a\u8c03\u6574\u68c0\u6d4b\u5230\u7684\u8138\u90e8\u4ee5\u83b7\u5f97\u4e00\u81f4\u7684\u59ff\u52bf\u3002<\/li>\n
  3. \u6b63\u5e38\u5316<\/strong>\uff1a\u5bf9\u8138\u90e8\u56fe\u50cf\u8fdb\u884c\u89c4\u5219\u5316\u548c\u7f29\u653e\u3002<\/li>\n
  4. \u8868\u793a\/\u7f16\u7801<\/strong>\uff1a\u5c06\u9762\u90e8\u6570\u636e\u8f6c\u6362\u4e3a\u552f\u4e00\u4ee3\u7801\uff08\u9762\u90e8\u7b7e\u540d\uff09\u3002<\/li>\n
  5. \u5339\u914d<\/strong>\uff1a\u5c06\u9762\u90e8\u7279\u5f81\u4e0e\u6570\u636e\u5e93\u4e2d\u5df2\u77e5\u9762\u90e8\u8fdb\u884c\u6bd4\u8f83\u3002<\/li>\n<\/ol>\n

    \u5e95\u5c42\u6280\u672f\u5229\u7528\u4eba\u5de5\u667a\u80fd\uff0c\u7279\u522b\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u7b49\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u5bf9\u5927\u91cf\u9762\u90e8\u8fdb\u884c\u8bad\u7ec3\u5e76\u8bc6\u522b\u6a21\u5f0f\u3002<\/p>\n

    \u9762\u90e8\u8bc6\u522b\u7684\u4e3b\u8981\u7279\u70b9<\/h2>\n

    \u9762\u90e8\u8bc6\u522b\u6280\u672f\u6709\u51e0\u4e2a\u72ec\u7279\u7684\u529f\u80fd\uff1a<\/p>\n

      \n
    1. \u975e\u63a5\u89e6\u5f0f\u5de5\u827a<\/strong>\uff1a\u53ef\u4ee5\u8fdc\u8ddd\u79bb\u8fdb\u884c\u3002<\/li>\n
    2. \u9ad8\u53ef\u6269\u5c55\u6027<\/strong>\uff1a\u53ef\u4ee5\u5feb\u901f\u5904\u7406\u5927\u91cf\u6570\u636e\u3002<\/li>\n
    3. \u96c6\u6210\u529f\u80fd<\/strong>\uff1a\u53ef\u4e0e\u73b0\u6709\u7684\u76d1\u63a7\u7cfb\u7edf\u96c6\u6210\u3002<\/li>\n
    4. \u5b9e\u65f6\u8bc6\u522b<\/strong>\uff1a\u80fd\u591f\u5b9e\u65f6\u8bc6\u522b\u4e2a\u4eba\u3002<\/li>\n<\/ol>\n

      \u9762\u90e8\u8bc6\u522b\u7684\u7c7b\u578b<\/h2>\n

      \u9762\u90e8\u8bc6\u522b\u6280\u672f\u6709\u591a\u79cd\u7c7b\u578b\uff0c\u4e3b\u8981\u6839\u636e\u6240\u91c7\u7528\u7684\u6280\u672f\u8fdb\u884c\u533a\u5206\uff1a<\/p>\n

        \n
      1. \u4f20\u7edf\u6216\u51e0\u4f55\u9762\u90e8\u8bc6\u522b<\/strong>\uff1a\u4f7f\u7528\u9762\u90e8\u7684\u51e0\u4f55\u7279\u5f81\u3002<\/li>\n
      2. 3D \u9762\u90e8\u8bc6\u522b<\/strong>\uff1a\u8bc6\u522b\u4e09\u7ef4\u7279\u5f81\u3002<\/li>\n
      3. \u70ed\u6210\u50cf\u4eba\u8138\u8bc6\u522b<\/strong>\uff1a\u4f7f\u7528\u7ea2\u5916\u5149\u8c31\u6355\u83b7\u7684\u70ed\u56fe\u50cf\u3002<\/li>\n
      4. \u76ae\u80a4\u7eb9\u7406\u5206\u6790<\/strong>\uff1a\u5206\u6790\u4eba\u4f53\u76ae\u80a4\u4e0a\u7684\u7ebf\u6761\u3001\u56fe\u6848\u548c\u6591\u70b9\u6765\u8bc6\u522b\u9762\u90e8\u3002<\/li>\n<\/ol>\n\n\n\n\n\n\n\n\n
        \u7c7b\u578b<\/strong><\/th>\n\u4f7f\u7528\u7684\u6280\u672f<\/strong><\/th>\n\u4f18\u70b9<\/strong><\/th>\n\u7f3a\u70b9<\/strong><\/th>\n<\/tr>\n<\/thead>\n
        \u4f20\u7edf\u7684<\/td>\n\u51e0\u4f55\u7279\u5f81<\/td>\n\u7b80\u5355\u3001\u6709\u6548\u7684\u57fa\u672c\u8bc6\u522b<\/td>\n\u53d7\u9762\u90e8\u8868\u60c5\u3001\u5e74\u9f84\u548c\u5149\u7ebf\u7684\u5f71\u54cd<\/td>\n<\/tr>\n
        3D<\/td>\n3D \u8bc6\u522b<\/td>\n\u9002\u5e94\u5149\u7167\u548c\u59ff\u52bf\u53d8\u5316<\/td>\n\u9700\u8981\u4e13\u95e8\u7684\u786c\u4ef6<\/td>\n<\/tr>\n
        \u70ed\u7684<\/td>\n\u7ea2\u5916\u5149\u8c31<\/td>\n\u5728\u5f31\u5149\u73af\u5883\u4e0b\u4e5f\u80fd\u5de5\u4f5c\uff0c\u5f88\u96be\u88ab\u6b3a\u9a97<\/td>\n\u4ef7\u683c\u6602\u8d35\uff0c\u51c6\u786e\u5ea6\u8f83\u4f4e<\/td>\n<\/tr>\n
        \u808c\u7406<\/td>\n\u76ae\u80a4\u5206\u6790<\/td>\n\u51c6\u786e\u7387\u9ad8\uff0c\u96be\u4ee5\u6b3a\u9a97<\/td>\n\u590d\u6742\uff0c\u53ef\u80fd\u53d7\u76ae\u80a4\u72b6\u51b5\u5f71\u54cd<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u4f7f\u7528\u3001\u95ee\u9898\u548c\u89e3\u51b3\u65b9\u6848<\/h2>\n

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        \u4e0e\u7c7b\u4f3c\u751f\u7269\u8bc6\u522b\u6280\u672f\u7684\u6bd4\u8f83<\/h2>\n

        \u5176\u4ed6\u751f\u7269\u8bc6\u522b\u6280\u672f\u5305\u62ec\u6307\u7eb9\u8bc6\u522b\u3001\u8679\u819c\u8bc6\u522b\u548c\u8bed\u97f3\u8bc6\u522b\u3002\u867d\u7136\u5b83\u4eec\u90fd\u7528\u4e8e\u8bc6\u522b\u4e2a\u4eba\uff0c\u4f46\u5b83\u4eec\u7684\u7279\u70b9\u5404\u4e0d\u76f8\u540c\uff1a<\/p>\n\n\n\n\n\n\n\n
        \u751f\u7269\u8bc6\u522b\u6280\u672f<\/strong><\/th>\n\u72ec\u7279\u7684\u529f\u80fd<\/strong><\/th>\n\u5c40\u9650\u6027<\/strong><\/th>\n<\/tr>\n<\/thead>\n
        \u6307\u7eb9\u8bc6\u522b<\/td>\n\u7cbe\u5ea6\u9ad8\uff0c\u6280\u672f\u6210\u719f<\/td>\n\u9700\u8981\u63a5\u89e6\uff0c\u6613\u53d7\u6c61\u57a2\u5f71\u54cd<\/td>\n<\/tr>\n
        \u8679\u819c\u8bc6\u522b<\/td>\n\u6781\u5176\u51c6\u786e\uff0c\u96be\u4ee5\u4f2a\u9020<\/td>\n\u9700\u8981\u8fd1\u8ddd\u79bb\uff0c\u53d7\u773c\u955c\u5f71\u54cd<\/td>\n<\/tr>\n
        \u8bed\u97f3\u8bc6\u522b<\/td>\n\u53ef\u8fdc\u7a0b\u4f7f\u7528\uff0c\u975e\u63a5\u89e6\u5f0f<\/td>\n\u53ef\u80fd\u53d7\u566a\u97f3\u3001\u75be\u75c5\u7684\u5f71\u54cd<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u524d\u666f\u548c\u672a\u6765\u6280\u672f<\/h2>\n

        \u9762\u90e8\u8bc6\u522b\u7684\u672a\u6765\u5305\u62ec\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u3001\u8fb9\u7f18\u8ba1\u7b97\u548c\u9053\u5fb7\u7b97\u6cd5\u7684\u8fdb\u6b65\uff0c\u4ee5\u51cf\u5c11\u504f\u89c1\u3002\u60c5\u7eea\u8bc6\u522b\u548c\u9884\u6d4b\u5206\u6790\u7b49\u53d1\u5c55\u4e5f\u63d0\u4f9b\u4e86\u6709\u8da3\u7684\u53ef\u80fd\u6027\u3002<\/p>\n

        \u4ee3\u7406\u670d\u52a1\u5668\u548c\u9762\u90e8\u8bc6\u522b<\/h2>\n

        \u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5728\u9762\u90e8\u8bc6\u522b\u7cfb\u7edf\u4e2d\u53d1\u6325\u4f5c\u7528\uff0c\u4e3a\u7528\u6237\u63d0\u4f9b\u533f\u540d\u6027\uff0c\u4fdd\u62a4\u4ed6\u4eec\u514d\u53d7\u6f5c\u5728\u5a01\u80c1\u548c\u653b\u51fb\u3002\u6b64\u5916\uff0c\u5b83\u4eec\u8fd8\u53ef\u4ee5\u901a\u8fc7\u5c06\u6d41\u91cf\u91cd\u5b9a\u5411\u5230\u4e0d\u540c\u7684\u670d\u52a1\u5668\u6765\u5e2e\u52a9\u5206\u5e03\u5f0f\u9762\u90e8\u8bc6\u522b\u4efb\u52a1\uff0c\u51cf\u5c11\u7f51\u7edc\u62e5\u585e\u5e76\u63d0\u9ad8\u6574\u4f53\u7cfb\u7edf\u6027\u80fd\u3002<\/p>\n

        \u76f8\u5173\u94fe\u63a5<\/h2>\n
          \n
        1. \u7f8e\u56fd\u56fd\u5bb6\u6807\u51c6\u4e0e\u6280\u672f\u7814\u7a76\u9662 (NIST) \u2013 \u9762\u90e8\u8bc6\u522b<\/a><\/li>\n
        2. \u7f8e\u56fd\u516c\u6c11\u81ea\u7531\u8054\u76df\u5173\u4e8e\u9762\u90e8\u8bc6\u522b<\/a><\/li>\n
        3. IEEE Xplore \u2013 \u9762\u90e8\u8bc6\u522b\u6280\u672f<\/a><\/li>\n
        4. \u9762\u90e8\u8bc6\u522b\u6280\u672f\uff1a\u9700\u8981\u516c\u5171\u76d1\u7ba1\u548c\u4f01\u4e1a\u8d23\u4efb<\/a><\/li>\n<\/ol>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477177","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Facial Recognition: A Comprehensive Look Into the Future of Identification<\/mark>","faq_items":[{"question":"What is facial recognition technology?","answer":"

          Facial recognition is a biometric technology used to identify or verify a person's identity using their face. It captures, analyzes, and compares patterns based on the person's facial details.<\/p>"},{"question":"What was the first facial recognition system?","answer":"

          The idea of facial recognition dates back to the 1960s when Woodrow Wilson Bledsoe developed a system capable of classifying photos of faces manually using a RAND tablet.<\/p>"},{"question":"How does facial recognition technology work?","answer":"

          Facial recognition technology works by detecting, aligning, normalizing, encoding, and then matching a facial image with the known faces in a database. It uses artificial intelligence and deep learning algorithms to train on a vast number of faces and recognize patterns.<\/p>"},{"question":"What are the key features of facial recognition?","answer":"

          Key features of facial recognition technology include its non-contact process, high scalability, ability to be integrated with existing surveillance systems, and real-time identification capability.<\/p>"},{"question":"What are the different types of facial recognition?","answer":"

          There are various types of facial recognition technology such as Traditional or Geometric Facial Recognition, 3D Facial Recognition, Thermal Facial Recognition, and Skin Texture Analysis.<\/p>"},{"question":"What are the uses and challenges of facial recognition technology?","answer":"

          Facial recognition technology is used in many fields like law enforcement, surveillance, access control, marketing, and social media. However, it poses challenges such as privacy concerns, potential bias, and accuracy issues.<\/p>"},{"question":"How does facial recognition compare with other biometric technologies?","answer":"

          Facial recognition, like other biometric technologies such as fingerprint recognition, iris recognition, and voice recognition, serves the purpose of identifying individuals. However, their characteristics and performance can vary significantly.<\/p>"},{"question":"What are the future perspectives of facial recognition?","answer":"

          The future of facial recognition includes advancements in deep learning techniques, edge computing, and ethical algorithms to reduce bias. Developments like emotion recognition and predictive analytics also offer intriguing possibilities.<\/p>"},{"question":"How can proxy servers be used with facial recognition?","answer":"

          Proxy servers can provide anonymization to users of facial recognition systems, protecting them from potential threats and attacks. They can also assist in distributed facial recognition tasks, reducing network congestion and improving overall system performance.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/477177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/477177\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=477177"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}