{"id":387,"date":"2026-04-25T14:52:12","date_gmt":"2026-04-25T06:52:12","guid":{"rendered":"https:\/\/www.aximmetrycn.com\/?p=387"},"modified":"2026-04-25T14:52:12","modified_gmt":"2026-04-25T06:52:12","slug":"aximmetry-%e6%8a%80%e6%9c%af%e7%99%bd%e7%9a%ae%e4%b9%a6%e5%bc%8f%e8%a7%a3%e6%9e%90%ef%bc%9a%e5%ae%9e%e6%97%b6%e8%99%9a%e6%8b%9f%e5%88%b6%e7%89%87%e4%b8%8e%e7%9b%b4%e6%92%ad%e7%9a%84%e6%a0%b8%e5%bf%83","status":"publish","type":"post","link":"https:\/\/www.aximmetrycn.com\/ja\/20260425320083878812.html","title":{"rendered":"Aximmetry \u6280\u672f\u767d\u76ae\u4e66\u5f0f\u89e3\u6790\uff1a\u5b9e\u65f6\u865a\u62df\u5236\u7247\u4e0e\u76f4\u64ad\u7684\u6838\u5fc3\u6280\u672f\u903b\u8f91\u4e0e\u7cfb\u7edf\u96c6\u6210\u65b9\u6848"},"content":{"rendered":"<p>\u968f\u7740\u865a\u62df\u5236\u7247\uff08Virtual Production\uff09\u3001XR \u6269\u5c55\u73b0\u5b9e\u548c\u8d85\u9ad8\u6e05\u76f4\u64ad\u9700\u6c42\u7684\u7206\u53d1\u6027\u589e\u957f\uff0c\u5b9e\u65f6\u56fe\u5f62\u5f15\u64ce\u7684\u9009\u578b\u5df2\u6210\u4e3a\u9879\u76ee\u6210\u8d25\u7684\u5173\u952e\u3002Aximmetry \u4f5c\u4e3a\u4e00\u6b3e\u4e13\u4e3a\u5e7f\u64ad\u7ea7\u5e94\u7528\u4f18\u5316\u7684\u5b9e\u65f6\u5408\u6210\u4e0e\u63a7\u5236\u5e73\u53f0\uff0c\u5728\u4e0e Unreal Engine \u6df1\u5ea6\u878d\u5408\u540e\uff0c\u5df2\u6210\u4e3a\u5168\u7403\u4f17\u591a\u9876\u7ea7\u865a\u62df\u6f14\u64ad\u5ba4\u3001LED \u5899 XR \u5f71\u68da\u548c\u865a\u62df\u5076\u50cf\u76f4\u64ad\u9879\u76ee\u7684\u6838\u5fc3\u751f\u4ea7\u7cfb\u7edf\u3002\u672c\u6587\u4ece\u7cfb\u7edf\u67b6\u6784\u3001\u6838\u5fc3\u7b97\u6cd5\u3001\u96c6\u6210\u65b9\u6848\u5230\u5de5\u7a0b\u5b9e\u65bd\u56db\u4e2a\u7ef4\u5ea6\uff0c\u5bf9 Aximmetry \u7684\u6280\u672f\u903b\u8f91\u8fdb\u884c\u6df1\u5ea6\u89e3\u6790\u3002<\/p>\n<p><img decoding=\"async\" class=\"size-medium wp-image-388 aligncenter\" src=\"https:\/\/img.aximmetrycn.com\/2026\/04\/20260425065200192.webp\" alt=\"\" \/><\/p>\n<h3 class=\"mt-6 mb-2 font-semibold text-xl\" data-streamdown=\"heading-3\">\u4e00\u3001\u7cfb\u7edf\u67b6\u6784\u8bbe\u8ba1\uff1a\u53cc\u5f15\u64ce\u6df7\u5408\u9a71\u52a8\u6a21\u578b<\/h3>\n<p>Aximmetry DE \u91c7\u7528\u72ec\u7279\u7684<span class=\"font-semibold\" data-streamdown=\"strong\">\u5f02\u6784\u53cc\u5f15\u64ce\u67b6\u6784<\/span>\uff08Heterogeneous Dual-Engine Architecture\uff09\uff1a<\/p>\n<ul class=\"list-inside list-disc whitespace-normal [li_&amp;]:pl-6\" data-streamdown=\"unordered-list\">\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\"><span class=\"font-semibold\" data-streamdown=\"strong\">Unreal Engine \u4f5c\u4e3a\u524d\u7aef\u6e32\u67d3\u5f15\u64ce<\/span>\uff1a\u8d1f\u8d23\u6240\u6709\u9ad8\u4fdd\u771f 3D \u5185\u5bb9\u7684\u5b9e\u65f6\u8ba1\u7b97\uff0c\u5305\u62ec Nanite \u865a\u62df\u51e0\u4f55\u3001Lumen \u52a8\u6001\u5168\u5c40\u5149\u7167\u3001Chaos \u7269\u7406\u7cfb\u7edf\u4ee5\u53ca Niagara \u7c92\u5b50\u7279\u6548\u3002<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\"><span class=\"font-semibold\" data-streamdown=\"strong\">Aximmetry Core \u4f5c\u4e3a\u540e\u7aef\u63a7\u5236\u4e0e\u5408\u6210\u5f15\u64ce<\/span>\uff1a\u627f\u62c5\u89c6\u9891\u4fe1\u53f7\u91c7\u96c6\u3001\u786c\u4ef6 I\/O\u3001\u7cbe\u5bc6\u8272\u5ea6\u952e\u63a7\u3001\u6444\u50cf\u673a\u8ffd\u8e2a\u540c\u6b65\u3001\u8282\u70b9\u5f0f\u4e1a\u52a1\u903b\u8f91\u7f16\u6392\u4ee5\u53ca\u591a\u534f\u8bae\u8f93\u51fa\u7b49\u5e7f\u64ad\u7ea7\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<p>\u4e24\u5f15\u64ce\u4e4b\u95f4\u901a\u8fc7\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Zero-Copy Shared Texture<\/span>\u00a0\u673a\u5236\u548c\u81ea\u5b9a\u4e49\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Render Plugin<\/span>\u00a0\u8fdb\u884c\u901a\u4fe1\uff0c\u7aef\u5230\u7aef\u5ef6\u8fdf\u53ef\u7a33\u5b9a\u63a7\u5236\u5728 2 \u5e27\u4ee5\u5185\uff08@60fps \u4e0b\u7ea6 33ms\uff09\u3002\u8fd9\u79cd\u8bbe\u8ba1\u6709\u6548\u89e3\u51b3\u4e86\u4f20\u7edf UE \u9879\u76ee\u5728\u89c6\u9891\u5de5\u7a0b\u7a33\u5b9a\u6027\u3001\u8272\u5f69\u7ba1\u7406\u7cbe\u5ea6\u548c\u591a\u673a\u534f\u540c\u4e0a\u7684\u77ed\u677f\u3002<\/p>\n<p>\u7cfb\u7edf\u652f\u6301\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Multi-GPU<\/span>\u00a0\u548c\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Multi-Machine Clustering<\/span>\uff0c\u901a\u8fc7 25G\/100G \u7f51\u7edc\u5b9e\u73b0\u5206\u5e03\u5f0f\u6e32\u67d3\uff0c\u5355\u7cfb\u7edf\u53ef\u9a71\u52a8\u6700\u9ad8 8 \u53f0 8K \u6444\u50cf\u673a\u540c\u65f6\u5de5\u4f5c\u3002<\/p>\n<h3 class=\"mt-6 mb-2 font-semibold text-xl\" data-streamdown=\"heading-3\">\u4e8c\u3001\u6838\u5fc3\u7b97\u6cd5\u6a21\u5757\u89e3\u6790<\/h3>\n<p><span class=\"font-semibold\" data-streamdown=\"strong\">1. \u9ad8\u7ea7\u5206\u5c42\u8272\u5ea6\u952e\u63a7\uff08Advanced Layered Chroma Keyer\uff09<\/span>\u00a0Aximmetry \u7684\u952e\u63a7\u7b97\u6cd5\u91c7\u7528<span class=\"font-semibold\" data-streamdown=\"strong\">\u591a\u5e73\u9762\u91c7\u6837 + \u8fb9\u7f18\u667a\u80fd\u91cd\u5efa<\/span>\u6a21\u578b\uff1a<\/p>\n<ul class=\"list-inside list-disc whitespace-normal [li_&amp;]:pl-6\" data-streamdown=\"unordered-list\">\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u652f\u6301\u6700\u9ad8 16 \u70b9\u72ec\u7acb\u91c7\u6837\uff08Multi-Point Sampling\uff09\uff0c\u53ef\u9488\u5bf9\u524d\u666f\u4e0d\u540c\u4eae\u5ea6\u4e0e\u9971\u548c\u5ea6\u533a\u57df\u5206\u522b\u5efa\u7acb\u952e\u63a7\u6a21\u578b\u3002<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u96c6\u6210\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Sub-Pixel Edge Reconstruction<\/span>\u00a0\u7b97\u6cd5\uff0c\u6709\u6548\u4fdd\u7559 4K \u53ca\u4ee5\u4e0a\u5206\u8fa8\u7387\u4e0b\u7684\u5934\u53d1\u4e1d\u3001\u900f\u660e\u7ec7\u7269\u548c\u8fd0\u52a8\u6a21\u7cca\u7ec6\u8282\u3002<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u72ec\u6709\u7684\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Physically Based Shadow Catcher<\/span>\u00a0\u6a21\u5757\u53ef\u72ec\u7acb\u63d0\u53d6\u771f\u5b9e\u5149\u7167\u4ea7\u751f\u7684\u9634\u5f71\u4fe1\u606f\uff0c\u5e76\u4ee5 Linear Space \u4f20\u9012\u81f3 UE \u573a\u666f\uff0c\u5b9e\u73b0\u7cbe\u786e\u7684\u5149\u5f71\u5339\u914d\u3002<\/li>\n<\/ul>\n<p><span class=\"font-semibold\" data-streamdown=\"strong\">2. \u4f4e\u5ef6\u8fdf\u8ffd\u8e2a\u540c\u6b65\u7cfb\u7edf\uff08Low-Latency Tracking Pipeline\uff09<\/span>\u00a0\u652f\u6301 FreeD\u3001SPUD\u3001TrackMen\u3001Mo-Sys\u3001stYpe\u3001Vicon\u3001OptiTrack \u7b49\u4e3b\u6d41\u534f\u8bae\u3002\u5185\u90e8\u4f7f\u7528\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Kalman Filter + Predictive Extrapolation<\/span>\u00a0\u7b97\u6cd5\u5bf9\u8ffd\u8e2a\u6570\u636e\u8fdb\u884c\u5e73\u6ed1\u5904\u7406\uff0c\u5b9e\u6d4b\u5ef6\u8fdf\u53ef\u4f4e\u81f3 8ms\uff08\u8ffd\u8e2a\u8bbe\u5907\u672c\u8eab\u5ef6\u8fdf\u9664\u5916\uff09\u3002<\/p>\n<p>\u5728 XR \u9879\u76ee\u4e2d\uff0cAximmetry \u901a\u8fc7\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Real-Time Frustum Warping<\/span>\u00a0\u6280\u672f\uff0c\u6839\u636e\u6444\u50cf\u673a 6DoF \u6570\u636e\u5b9e\u65f6\u88c1\u526a\u5e76\u626d\u66f2 UE \u6e32\u67d3\u753b\u9762\uff0c\u786e\u4fdd LED \u5899\u4e0a\u663e\u793a\u7684\u5185\u5bb9\u4e0e\u771f\u5b9e\u955c\u5934\u89c6\u573a 100% \u5339\u914d\uff0c\u907f\u514d\u9b3c\u5f71\u548c\u900f\u89c6\u9519\u8bef\u3002<\/p>\n<p><span class=\"font-semibold\" data-streamdown=\"strong\">3. \u8282\u70b9\u5f0f\u53ef\u89c6\u5316\u7f16\u7a0b\u5f15\u64ce\uff08Node-Based Visual Programming\uff09<\/span>\u00a0Aximmetry \u7684\u8282\u70b9\u7cfb\u7edf\u91c7\u7528<span class=\"font-semibold\" data-streamdown=\"strong\">\u6570\u636e\u6d41\u9a71\u52a8\uff08Dataflow-Driven\uff09<\/span>\u8bbe\u8ba1\uff0c\u6240\u6709\u8282\u70b9\u5747\u4e3a GPU\/CPU \u5f02\u6b65\u6267\u884c\uff0c\u652f\u6301\u70ed\u91cd\u8f7d\uff08Hot-Reloading\uff09\u3002\u5173\u952e\u7279\u6027\u5305\u62ec\uff1a<\/p>\n<ul class=\"list-inside list-disc whitespace-normal [li_&amp;]:pl-6\" data-streamdown=\"unordered-list\">\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u81ea\u5b9a\u4e49 Compound \u8282\u70b9\u5c01\u88c5<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u4e8b\u4ef6\u9a71\u52a8\uff08Event-Driven\uff09\u903b\u8f91<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u5f3a\u5927\u7684\u5916\u90e8\u534f\u8bae\u6865\u63a5\uff08OSC\u3001DMX512\u3001MIDI\u3001TCP\/UDP\u3001MQTT\u3001HTTP\u3001WebSocket\u3001SQL\uff09<\/li>\n<\/ul>\n<h3 class=\"mt-6 mb-2 font-semibold text-xl\" data-streamdown=\"heading-3\">\u4e09\u3001\u5178\u578b\u9879\u76ee\u7cfb\u7edf\u96c6\u6210\u65b9\u6848<\/h3>\n<p><span class=\"font-semibold\" data-streamdown=\"strong\">\u65b9\u6848\u4e00\uff1a\u9ad8\u7aef XR LED \u865a\u62df\u5f71\u68da<\/span><\/p>\n<ul class=\"list-inside list-disc whitespace-normal [li_&amp;]:pl-6\" data-streamdown=\"unordered-list\">\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u786c\u4ef6\u5c42\uff1a8K SDI \u6444\u50cf\u673a \u00d7 4 + stYpe Redspy \u8ffd\u8e2a + ROE Visual LED \u5899<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u8f6f\u4ef6\u5c42\uff1aAximmetry DE \u4e3b\u63a7 + 4 \u53f0 UE Render Node\uff08\u96c6\u7fa4\u6a21\u5f0f\uff09<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u5173\u952e\u914d\u7f6e\uff1a\u542f\u7528 ICVFX Pipeline + Color Management\uff08ACES 2065-1\uff09+ Genlock + PTP v2.1 \u65f6\u95f4\u540c\u6b65<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u8f93\u51fa\uff1a12G-SDI Program + NDI HX3 Preview + SRT \u5907\u4efd\u6d41<\/li>\n<\/ul>\n<p><span class=\"font-semibold\" data-streamdown=\"strong\">\u65b9\u6848\u4e8c\uff1a\u4e2d\u578b\u865a\u62df\u4e3b\u64ad\uff08VTuber\uff09\u76f4\u64ad\u5de5\u4f5c\u5ba4<\/span><\/p>\n<ul class=\"list-inside list-disc whitespace-normal [li_&amp;]:pl-6\" data-streamdown=\"unordered-list\">\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u786c\u4ef6\u5c42\uff1aSony FR7 PTZ \u6444\u50cf\u673a + HTC Vive Tracker 3.0 + RTX 4090 \u5355\u673a<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u8f6f\u4ef6\u5c42\uff1aAximmetry Broadcast + Unreal Engine 5.4<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u6838\u5fc3\u6280\u672f\u70b9\uff1aFace Capture\uff08\u901a\u8fc7 Live Link Face\uff09+ Full Body Tracking + Real-time Cloth Simulation + 8\u8def\u865a\u62df\u573a\u666f\u5207\u6362<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u8f93\u51fa\uff1aRTMP\/RTMPS \u76f4\u63a8\u6296\u97f3\u3001B\u7ad9\u3001YouTube<\/li>\n<\/ul>\n<p><span class=\"font-semibold\" data-streamdown=\"strong\">\u65b9\u6848\u4e09\uff1a\u7535\u89c6\u53f0 4K \u865a\u62df\u65b0\u95fb\u6f14\u64ad\u5ba4<\/span><\/p>\n<ul class=\"list-inside list-disc whitespace-normal [li_&amp;]:pl-6\" data-streamdown=\"unordered-list\">\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u91cd\u70b9\u4f7f\u7528 Aximmetry \u7684\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Data Binding<\/span>\u00a0\u529f\u80fd\uff0c\u5b9e\u65f6\u62c9\u53d6\u5929\u6c14\u3001\u80a1\u5e02\u3001\u75ab\u60c5\u7b49\u5916\u90e8\u6570\u636e\u9a71\u52a8\u865a\u62df\u573a\u666f\u4e2d\u7684\u52a8\u6001\u5143\u7d20\u3002<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u901a\u8fc7\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Playlist<\/span>\u00a0\u548c\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Cue System<\/span>\u00a0\u5b9e\u73b0\u5bfc\u64ad\u4e00\u952e\u5f0f\u8282\u76ee\u4e32\u8054\u63a7\u5236\u3002<\/li>\n<\/ul>\n<h3 class=\"mt-6 mb-2 font-semibold text-xl\" data-streamdown=\"heading-3\">\u56db\u3001\u5de5\u7a0b\u5b9e\u65bd\u5efa\u8bae\u4e0e\u6027\u80fd\u57fa\u51c6<\/h3>\n<p><span class=\"font-semibold\" data-streamdown=\"strong\">\u6027\u80fd\u57fa\u51c6\u53c2\u8003\uff08\u5355\u673a RTX 4090 \u914d\u7f6e\uff09\uff1a<\/span><\/p>\n<ul class=\"list-inside list-disc whitespace-normal [li_&amp;]:pl-6\" data-streamdown=\"unordered-list\">\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">4K60 \u9879\u76ee\uff1a\u5e73\u5747 GPU Load 62%\uff0c\u7cfb\u7edf\u7aef\u5230\u7aef\u5ef6\u8fdf 47ms<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">8K30 XR \u9879\u76ee\uff08\u96c6\u7fa4 4 \u53f0\u673a\uff09\uff1a\u5355\u673a GPU Load 78%\uff0c\u753b\u9762\u540c\u6b65\u8bef\u5dee &lt; 1.2 \u5e27<\/li>\n<\/ul>\n<p><span class=\"font-semibold\" data-streamdown=\"strong\">\u5b9e\u65bd\u5efa\u8bae\uff1a<\/span><\/p>\n<ol class=\"list-inside list-decimal whitespace-normal [li_&amp;]:pl-6\" data-streamdown=\"ordered-list\">\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u4e25\u683c\u8fdb\u884c\u8272\u5f69\u7ba1\u7406\u4f53\u7cfb\u5efa\u8bbe\uff0c\u63a8\u8350\u91c7\u7528\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">ACEScg<\/span>\u00a0\u5de5\u4f5c\u6d41\u3002<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u6240\u6709\u8ffd\u8e2a\u8bbe\u5907\u5fc5\u987b\u505a\u5b9a\u671f\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Lens Calibration<\/span>\u00a0\u548c\u00a0<span class=\"font-semibold\" data-streamdown=\"strong\">Tracking Volume Mapping<\/span>\u3002<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u5efa\u7acb\u6807\u51c6\u5316\u9879\u76ee\u6a21\u677f\uff08Template Project\uff09\uff0c\u5305\u542b\u9884\u8c03\u597d\u7684 Keyer Preset\u3001Tracking Preset \u548c Output Preset\uff0c\u5927\u5e45\u7f29\u77ed\u9879\u76ee\u542f\u52a8\u65f6\u95f4\u3002<\/li>\n<li class=\"py-1 [&amp;&gt;p]:inline\" data-streamdown=\"list-item\">\u76f4\u64ad\u524d\u5fc5\u987b\u8fdb\u884c\u81f3\u5c11 2 \u5c0f\u65f6\u7684\u538b\u529b\u6d4b\u8bd5\uff08Stress Test\uff09\uff0c\u91cd\u70b9\u76d1\u63a7\u6e29\u5ea6\u3001\u5185\u5b58\u6cc4\u6f0f\u548c\u7f51\u7edc\u6296\u52a8\u3002<\/li>\n<\/ol>\n<h3 class=\"mt-6 mb-2 font-semibold text-xl\" data-streamdown=\"heading-3\">\u7ed3\u8bed<\/h3>\n<p>Aximmetry \u7684\u4ef7\u503c\u5728\u4e8e\u5b83\u5c06\u7535\u5f71\u7ea7\u7684\u5b9e\u65f6\u6e32\u67d3\u80fd\u529b\u3001\u5e7f\u64ad\u7ea7\u7684\u4fe1\u53f7\u7a33\u5b9a\u6027\u4e0e\u5de5\u7a0b\u5e08\u53cb\u597d\u7684\u53ef\u89c6\u5316\u7f16\u7a0b\u5b8c\u7f8e\u7ed3\u5408\uff0c\u6784\u5efa\u4e86\u4e00\u4e2a\u771f\u6b63\u53ef\u7528\u4e8e\u89c4\u6a21\u5316\u751f\u4ea7\u7684\u5b9e\u65f6\u865a\u62df\u5185\u5bb9\u521b\u4f5c\u5e73\u53f0\u3002<\/p>\n<p>\u5728\u8ffd\u6c42\u6781\u81f4\u753b\u8d28\u3001\u96f6\u5ef6\u8fdf\u548c\u7cfb\u7edf\u53ef\u9760\u6027\u7684\u4eca\u5929\uff0cAximmetry \u5df2\u7ecf\u8d85\u8d8a\u4e86\u201c\u5de5\u5177\u201d\u7684\u5b9a\u4e49\uff0c\u6210\u4e3a\u865a\u62df\u5236\u7247\u4e0e\u76f4\u64ad\u9886\u57df\u4e0d\u53ef\u6216\u7f3a\u7684\u6280\u672f\u57fa\u7840\u8bbe\u65bd\u3002\u65e0\u8bba\u662f\u767e\u4e07\u7ea7 XR \u5f71\u68da\uff0c\u8fd8\u662f\u4e13\u6ce8\u4e8e\u865a\u62df\u5076\u50cf\u7684\u72ec\u7acb\u5de5\u4f5c\u5ba4\uff0c\u90fd\u80fd\u4ece\u4e2d\u627e\u5230\u9002\u5408\u81ea\u8eab\u6280\u672f\u8def\u5f84\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<p>\u672a\u6765\uff0c\u968f\u7740\u5b9e\u65f6\u5149\u7ebf\u8ffd\u8e2a\u3001\u795e\u7ecf\u6e32\u67d3\u548c AI \u9a71\u52a8\u5185\u5bb9\u751f\u6210\u7684\u8fdb\u4e00\u6b65\u878d\u5408\uff0cAximmetry \u5c06\u7ee7\u7eed\u5f15\u9886\u5b9e\u65f6\u865a\u62df\u5236\u4f5c\u6280\u672f\u7684\u53d1\u5c55\u65b9\u5411\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u968f\u7740\u865a\u62df\u5236\u7247\uff08Virtual Production\uff09\u3001XR \u6269\u5c55\u73b0\u5b9e\u548c\u8d85\u9ad8\u6e05\u76f4\u64ad\u9700\u6c42\u7684\u7206\u53d1\u6027\u589e\u957f\uff0c\u5b9e\u65f6\u56fe\u5f62\u5f15\u64ce\u7684\u9009\u578b\u5df2\u6210\u4e3a\u9879\u76ee\u6210\u8d25\u7684\u5173\u952e\u3002Aximmetry \u4f5c\u4e3a\u4e00\u6b3e\u4e13\u4e3a\u5e7f\u64ad\u7ea7\u5e94\u7528\u4f18\u5316\u7684\u5b9e\u65f6\u5408\u6210\u4e0e\u63a7\u5236\u5e73\u53f0\uff0c\u5728\u4e0e Unre [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":388,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-387","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aximmetry-study"],"_links":{"self":[{"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/posts\/387","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/comments?post=387"}],"version-history":[{"count":0,"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/posts\/387\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/media\/388"}],"wp:attachment":[{"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/media?parent=387"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/categories?post=387"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/ja\/wp-json\/wp\/v2\/tags?post=387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}