{"id":779,"date":"2026-07-21T13:32:00","date_gmt":"2026-07-21T05:32:00","guid":{"rendered":"https:\/\/www.aximmetrycn.com\/?p=779"},"modified":"2026-07-21T13:32:00","modified_gmt":"2026-07-21T05:32:00","slug":"spatiotemporal-dual-domain-locking-aximmetry-high-precision-lens-calibration-and-tracking-alignment-pipeline","status":"publish","type":"post","link":"https:\/\/www.aximmetrycn.com\/en\/20260721320087798800.html","title":{"rendered":"Spatiotemporal Dual-Domain Latching: Aximmetry High-Precision Lens Calibration and Tracking Alignment Pipeline"},"content":{"rendered":"

\u5728\u865a\u62df\u5236\u7247\uff08ICVFX\uff09\u548c\u6269\u5c55\u73b0\u5b9e\uff08XR\uff09\u7684\u5de5\u4e1a\u7ea7\u751f\u4ea7\u4e2d\uff0c\u201c\u6444\u50cf\u673a\u8ffd\u8e2a\u7cfb\u7edf\uff08Camera Tracking\uff09\u201d<\/span>\u662f\u8fde\u63a5\u865a\u62df\u4e0e\u73b0\u5b9e\u7684\u7edd\u5bf9\u7ebd\u5e26\u3002<\/p>\n

\u65e0\u8bba\u662f\u4f7f\u7528\u7ea2\u5916\u5149\u5b66\u52a8\u6355\uff08\u5982 OptiTrack\u3001Vicon\uff09\u3001\u673a\u68b0\u6447\u81c2\u7f16\u7801\u5668\uff08\u5982 Mo-Sys\u3001Stype\uff09\uff0c\u8fd8\u662f\u6fc0\u5149\u96f7\u8fbe\u4e0e\u60ef\u6027\u6df7\u5408\u8ffd\u8e2a\uff0c\u7cfb\u7edf\u90fd\u5728\u5411\u6e32\u67d3\u5f15\u64ce\u5b9e\u65f6\u53d1\u9001\u76f8\u673a\u7684\u516d\u81ea\u7531\u5ea6\uff086DOF\uff09\u7a7a\u95f4\u5750\u6807\u3002<\/p>\n

\u7136\u800c\uff0c\u5f53\u6444\u50cf\u673a\u5728\u73b0\u573a\u8fdb\u884c\u5feb\u901f\u6447\u79fb\u3001\u53d8\u7126\uff08Zooming\uff09\u6216\u62c9\u7126\uff08Focus Pulling\uff09\u65f6\uff0c\u6280\u672f\u56e2\u961f\u5f80\u5f80\u4f1a\u906d\u9047\u81f4\u547d\u7684\u201c\u89c6\u5dee\u7a7f\u5e2e\u201d<\/span>\uff1a<\/p>\n

    \n
  1. \u65f6\u57df\u65f6\u6ede\u5931\u914d\uff08Temporal Desynchronization\uff09\uff1a<\/span>\u00a0\u8ffd\u8e2a\u6570\u636e\u901a\u8fc7 UDP \u534f\u8bae\u4f20\u8f93\uff0c\u5176\u5ef6\u8fdf\u901a\u5e38\u4ec5\u6709\u51e0\u6beb\u79d2\uff1b\u800c\u5b9e\u62cd\u89c6\u9891\u7ecf\u8fc7\u955c\u5934\u3001CMOS \u4f20\u611f\u5668\u3001\u7f16\u7801\u5668\u548c\u91c7\u96c6\u5361\uff0c\u5ef6\u8fdf\u9ad8\u8fbe\u6570\u5e27\uff0820-120\u6beb\u79d2\uff09\u3002\u5982\u679c\u5728\u65f6\u57df\u4e0a\u4e0d\u8fdb\u884c\u7cbe\u51c6\u7684\u201c\u65f6\u6ede\u5339\u914d\u201d\uff0c\u5728\u955c\u5934\u8f6c\u52a8\u65f6\uff0c\u865a\u62df\u80cc\u666f\u4f1a\u56e0\u4e3a\u63d0\u524d\u8fd0\u52a8\u800c\u4ea7\u751f\u5267\u70c8\u7684\u201c\u753b\u9762\u6ed1\u79fb\uff08Sliding\uff09\u201d<\/span>\u3002<\/li>\n
  2. \u7a7a\u95f4\u8282\u70b9\u6ed1\u79fb\uff08Nodal Slip\uff09\uff1a<\/span>\u00a0\u8ffd\u8e2a\u4f20\u611f\u5668\u901a\u5e38\u5b89\u88c5\u5728\u76f8\u673a\u673a\u8eab\u4e0a\uff0c\u800c\u76f8\u673a\u7684\u7269\u7406\u65cb\u8f6c\u8f74\u5fc3\u662f\u955c\u5934\u7684\u65e0\u89c6\u5dee\u5149\u5b66\u8282\u70b9\uff08Nodal Point\uff09<\/span>\u3002\u7531\u4e8e\u4e24\u70b9\u4e4b\u95f4\u5b58\u5728\u7269\u7406\u504f\u79fb\uff0c\u5f53\u76f8\u673a\u8f6c\u52a8\u65f6\uff0c\u4f20\u611f\u5668\u4f1a\u7ed5\u7740\u955c\u5934\u505a\u201c\u516c\u8f6c\u201d\u8fd0\u52a8\uff0c\u5bfc\u81f4\u6e32\u67d3\u753b\u9762\u4ea7\u751f\u6760\u6746\u8bef\u5dee\u3002<\/li>\n
  3. \u9ad8\u9636\u52a8\u6001\u7578\u53d8\u5931\u771f\uff08Dynamic Optical Distortion\uff09\uff1a<\/span>\u00a0\u7269\u7406\u955c\u5934\u7684\u955c\u7247\u5929\u7136\u5b58\u5728\u5f84\u5411\uff08Radial\uff09\u548c\u5207\u5411\uff08Tangential\uff09\u7578\u53d8\u3002\u66f4\u68d8\u624b\u7684\u662f\uff0c\u5f53\u6444\u5f71\u5355\u5b50\u8fdb\u884c\u53d8\u7126\u6216\u62c9\u7126\u65f6\uff0c\u955c\u5934\u7684\u7269\u7406\u89c6\u573a\u89d2\uff08FOV\uff09\u548c\u7578\u53d8\u7cfb\u6570\u4f1a\u968f\u7740 FIZ\uff08Focus, Iris, Zoom\uff09\u6570\u636e\u5b9e\u65f6\u53d1\u751f\u975e\u7ebf\u6027\u6f02\u79fb\uff08\u5373\u955c\u5934\u547c\u5438\u6548\u5e94<\/span>\uff09\u3002\u800c\u865a\u5e7b\u5f15\u64ce 5\uff08UE5\uff09\u5185\u90e8\u7684\u865a\u62df\u76f8\u673a\u4f7f\u7528\u7684\u662f\u5b8c\u7f8e\u7684\u9488\u5b54\u76f8\u673a\u6a21\u578b\uff0c\u5176\u900f\u89c6\u7ebf\u6761\u7edd\u5bf9\u7b14\u76f4\u3002\u865a\u5b9e\u4ea4\u754c\u5904\u4f1a\u56e0\u4e3a\u7578\u53d8\u4e0d\u5339\u914d\u800c\u4ea7\u751f\u4e25\u91cd\u7684\u201c\u8fb9\u7f18\u6495\u88c2\u201d\u3002<\/li>\n<\/ol>\n

    Aximmetry<\/span>\u00a0\u51ed\u501f\u5176\u4e13\u4e3a\u7a7a\u95f4\u51e0\u4f55\u7ea0\u504f\u8bbe\u8ba1\u7684\u201c\u65f6\u7a7a\u53cc\u57df\u9501\u5b58\u4e0e FIZ \u591a\u7ef4\u63d2\u503c\u7ba1\u7ebf\uff08FIZ Multi-Dimensional Interpolation Pipeline\uff09\u201d<\/span>\uff0c\u5728 GPU \u6700\u5e95\u5c42\u5efa\u7acb\u4e86\u5b8c\u7f8e\u7684\u865a\u62df\u900f\u89c6\u6a21\u578b\u3002<\/p>\n

    \"\"<\/p>\n

    \n

    \u4e00\u3001 \u65f6\u57df\u9501\u5b58\uff1a\u57fa\u4e8e\u56db\u5143\u6570\u7403\u5f62\u63d2\u503c\uff08Slerp\uff09\u7684\u4e9a\u5e27\u7ea7\u65f6\u6ede\u5339\u914d<\/h2>\n

    \u89e3\u51b3\u6ed1\u79fb\u7684\u6838\u5fc3\uff0c\u5728\u4e8e\u8ba9\u8dd1\u5f97\u5feb\u7684\u8ffd\u8e2a\u6570\u636e\uff0c\u5728\u663e\u5b58\u6df1\u5904\u201c\u7b49\u4e00\u7b49\u201d\u8dd1\u5f97\u6162\u7684\u89c6\u9891\u50cf\u7d20\u3002<\/p>\n

    Aximmetry \u5f15\u5165\u4e86\u201c\u9ad8\u7cbe\u5ea6\u65f6\u57df\u7f13\u51b2\u4e0e\u81ea\u9002\u5e94\u4e9a\u5e27\u63d2\u503c\uff08Sub-frame Interpolation\uff09\u201d<\/span>\u5f15\u64ce\uff1a<\/p>\n

    1. \u6beb\u79d2\u7ea7\u73af\u5f62\u53cc\u5411\u7f13\u51b2\u533a\uff08Circular Buffer\uff09<\/h3>\n

    Aximmetry \u5728\u663e\u5b58\u4e2d\u4e3a\u9ad8\u9891\u8ffd\u8e2a\u6570\u636e\u5f00\u8f9f\u4e86\u4e00\u4e2a\u9ad8\u8fbe 500ms \u7684\u73af\u5f62\u7f13\u51b2\u533a\u3002 \u5f53\u4e00\u5e27\u5b9e\u62cd\u89c6\u9891\u5230\u8fbe\u65f6\uff0c\u7cfb\u7edf\u4f1a\u8bfb\u53d6\u5176\u968f\u9644\u7684\u7269\u7406\u65f6\u95f4\u6233\uff08\u6216 Genlock \u8ba1\u6570\uff09\uff0c\u5e76\u5728\u7f13\u51b2\u533a\u5185\u7cbe\u786e\u68c0\u7d22\u8be5\u65f6\u95f4\u70b9\u5bf9\u5e94\u7684\u8ffd\u8e2a\u6570\u636e\u5305\u3002<\/p>\n

    2. \u56db\u5143\u6570\u7403\u5f62\u7ebf\u6027\u63d2\u503c\uff08Slerp\uff09<\/h3>\n

    \u7531\u4e8e\u8ffd\u8e2a\u5668\u7684\u91c7\u6837\u7387\uff08\u5982 120Hz\uff09\u4e0e\u89c6\u9891\u5e27\u7387\uff08\u5982 59.94Hz\uff09\u6781\u96be\u5b9e\u73b0\u7269\u7406\u6574\u9664\uff0c\u7cbe\u786e\u7684\u65f6\u95f4\u5bf9\u9f50\u70b9\u5f80\u5f80\u843d\u5728\u4e24\u4e2a\u8ffd\u8e2a\u6570\u636e\u5e27\u4e4b\u95f4\u3002 Aximmetry \u6452\u5f03\u4e86\u4f1a\u5f15\u5165\u6296\u52a8\u7684\u7ebf\u6027\u63d2\u503c\uff0c\u5229\u7528\u00a0\u56db\u5143\u6570\u7403\u5f62\u7ebf\u6027\u63d2\u503c\u7b97\u6cd5\uff08Slerp\uff09<\/span>\u00a0\u5bf9\u65cb\u8f6c\u5206\u91cf\u8fdb\u884c\u89e3\u7b97\uff1a<\/p>\n

    \"\"\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

    \u8be5\u7b97\u6cd5\u786e\u4fdd\u4e86\u76f8\u673a\u5728\u4e09\u7ef4\u7a7a\u95f4\u4e2d\u65cb\u8f6c\u65f6\uff0c\u63d2\u503c\u51fa\u7684\u865a\u62df\u76f8\u673a\u8f68\u8ff9\u5177\u5907\u7269\u7406\u7ea7\u7684\u52a0\u901f\u5ea6\u5e73\u6ed1\u5ea6\uff0c\u5f7b\u5e95\u6d88\u706d\u4e86\u56e0\u65f6\u57df\u9519\u4f4d\u5f15\u53d1\u7684\u865a\u5b9e\u753b\u9762\u201c\u62c9\u626f\u611f\u201d\u3002<\/p>\n

    \n

    \u4e8c\u3001 \u7a7a\u95f4\u91cd\u6784\uff1a\u57fa\u4e8e FIZ \u67e5\u8868\u7684\u4e09\u7ef4\u7a7a\u95f4\u8282\u70b9\u8865\u507f<\/h2>\n

    \u4e3a\u4e86\u6d88\u9664\u56e0\u4f20\u611f\u5668\u5b89\u88c5\u4f4d\u7f6e\u504f\u5dee\u5e26\u6765\u7684\u201c\u6760\u6746\u6548\u5e94\u201d\uff0c\u7cfb\u7edf\u5fc5\u987b\u5b9e\u65f6\u6c42\u89e3\u51fa\u4ece\u201c\u4f20\u611f\u5668\u7269\u7406\u4f4d\u7f6e\u201d\u5230\u201c\u955c\u5934\u5149\u5b66\u8282\u70b9\u201d\u7684\u52a8\u6001\u4e09\u7ef4\u53d8\u6362\u77e9\u9635\uff083D Transform Matrix\uff09<\/span>\u3002<\/p>\n

    Aximmetry \u90e8\u7f72\u4e86\u6781\u5176\u7cbe\u5bc6\u7684\u201c\u52a8\u6001\u4e09\u7ef4\u8282\u70b9\u6807\u5b9a\u7b97\u6cd5\uff08Dynamic Nodal Offset Solver\uff09\u201d<\/span>\uff1a<\/p>\n

    1. \u9759\u6001\u8282\u70b9\u504f\u5dee\u6807\u5b9a\uff08Nodal Offset Calibration\uff09<\/h3>\n

    \u901a\u8fc7 Aximmetry \u4e13\u7528\u7684\u955c\u5934\u6807\u5b9a\u5de5\u5177\uff0c\u5de5\u7a0b\u5e08\u8ba9\u76f8\u673a\u56f4\u7ed5\u7269\u7406\u8f74\u5fc3\u8fdb\u884c\u591a\u89d2\u5ea6\u65cb\u8f6c\u3002 \u7b97\u6cd5\u901a\u8fc7\u6700\u5c0f\u4e8c\u4e58\u6cd5\uff08Least Squares Method\uff09\uff0c\u5728 3D \u7a7a\u95f4\u4e2d\u7cbe\u786e\u53cd\u5411\u6c42\u89e3\u51fa\u4f20\u611f\u5668\u4e0e\u955c\u5934\u5149\u5b66\u8282\u70b9\u4e4b\u95f4\u7684 $X, Y, Z$ \u4e09\u5411\u7269\u7406\u504f\u79fb\u91cf\uff08Lever Arm\uff09\u3002<\/p>\n

    2. \u52a8\u6001\u955c\u5934\u547c\u5438\u8865\u507f\uff08Lens Breathing Compensation\uff09<\/h3>\n

    \u5728\u53d8\u7126\u548c\u62c9\u7126\u8fc7\u7a0b\u4e2d\uff0c\u7531\u4e8e\u5185\u5bf9\u7126\u955c\u7ec4\u7684\u7269\u7406\u79fb\u52a8\uff0c\u955c\u5934\u7684\u5149\u5b66\u8282\u70b9\uff08Nodal Point\uff09\u4f1a\u5728\u955c\u7b52\u5185\u90e8\u6cbf\u7740\u5149\u8f74\u65b9\u5411\uff08Z \u8f74\uff09\u524d\u540e\u6ed1\u79fb\u3002 Aximmetry \u5c06\u6807\u5b9a\u51fa\u7684 Z \u8f74\u504f\u79fb\u91cf\u4e0e\u5b9e\u65f6 FIZ \u7f16\u7801\u5668\u6570\u636e\u8fdb\u884c\u7ed1\u5b9a\uff0c\u5728\u8fd0\u884c\u671f\u52a8\u6001\u5b9e\u65f6\u5fae\u8c03 Z \u8f74\u7684\u504f\u79fb\u77e9\u9635\uff0c\u786e\u4fdd\u4e86\u5728\u62c9\u7126\u8fc7\u7a0b\u4e2d\u865a\u62df\u573a\u666f\u7684\u900f\u89c6\u6df1\u5ea6\u4e0e\u5b9e\u62cd\u955c\u5934\u5b8c\u5168\u540c\u6b65\uff0c\u6d88\u9664\u4e86\u201c\u80cc\u666f\u7f29\u653e\u201d\u7684\u7a7f\u5e2e\u3002<\/p>\n

    \n

    \u4e09\u3001 \u5149\u5b66\u91cd\u5851\uff1a\u57fa\u4e8e Brown-Conrady \u6a21\u578b\u7684\u9ad8\u9636\u52a8\u6001\u7578\u53d8\u6620\u5c04<\/h2>\n

    \u8981\u6cbb\u6108\u865a\u5b9e\u7ed3\u5408\u5904\u7ebf\u6761\u7684\u201c\u6298\u65ad\u201d\u4e0e\u201c\u5f2f\u66f2\u201d\uff0c\u5fc5\u987b\u5728 GPU \u6e32\u67d3\u6700\u672b\u7aef\uff0c\u5bf9\u865a\u5e7b\u5f15\u64ce\u8f93\u51fa\u7684\u7ebf\u6027\u753b\u9762\u65bd\u52a0\u4e0e\u7269\u7406\u955c\u5934\u4e00\u6a21\u4e00\u6837\u7684\u5149\u5b66\u7578\u53d8\u626d\u66f2\u3002<\/p>\n

    Aximmetry \u5f15\u5165\u4e86\u201c\u9ad8\u9636\u52a8\u6001\u7578\u53d8\u6807\u5b9a\u4e0e\u5b9e\u65f6\u91cd\u6620\u5c04\uff08Real-time High-Order Distortion Mapping\uff09\u201d<\/span>\u6280\u672f\uff1a<\/p>\n

    1. \u52a8\u6001 FIZ \u591a\u7ef4\u63d2\u503c\u77e9\u9635\uff08Multi-Dimensional Lookup Table\uff09<\/h3>\n

    \u955c\u5934\u5728\u4e0d\u540c\u7126\u8ddd\uff08Zoom\uff09\u548c\u5bf9\u7126\u8ddd\u79bb\uff08Focus\uff09\u4e0b\uff0c\u7578\u53d8\u7cfb\u6570\u662f\u5b8c\u5168\u4e0d\u540c\u7684\u3002 Aximmetry \u5efa\u7acb\u4e86\u4e00\u4e2a\u57fa\u4e8e\u4e8c\u7ef4\u7f51\u683c\u7684\u00a0FIZ \u7578\u53d8\u67e5\u627e\u8868<\/span>\u3002 \u5f53\u5bf9\u7126\u548c\u53d8\u7126\u53d8\u5316\u65f6\uff0c\u7cfb\u7edf\u5728 GPU \u5185\u90e8\u5bf9\u9ad8\u9636\u5f84\u5411\u7578\u53d8\u7cfb\u6570\uff08$K_1, K_2, K_3$\uff09\u548c\u5207\u5411\u7578\u53d8\u7cfb\u6570\uff08$P_1, P_2$\uff09\u8fdb\u884c\u5b9e\u65f6\u3001\u81ea\u9002\u5e94\u7684\u53cc\u7ebf\u6027\u63d2\u503c\u3002<\/p>\n

    2. \u7ecf\u5178\u7269\u7406\u7578\u53d8\u6a21\u578b\u91cd\u5851\uff08Brown-Conrady Model\uff09<\/h3>\n

    Aximmetry \u7684\u50cf\u7d20\u7740\u8272\u5668\u8c03\u7528 Brown-Conrady \u7578\u53d8\u6a21\u578b\uff0c\u5bf9 UE5 \u6e32\u67d3\u51fa\u7684\u65e0\u7578\u53d8\u753b\u9762\u50cf\u7d20\u8fdb\u884c\u91cd\u65b0\u5bfb\u5740\u548c\u62c9\u4f38\u626d\u66f2\uff1a<\/p>\n

    \"\"<\/p>\n

    \u8fd9\u4f7f\u5f97\u865a\u62df\u80cc\u666f\u4e2d\u7684\u4efb\u4f55\u4e00\u6761\u76f4\u7ebf\uff08\u5982\u865a\u62df\u5927\u697c\u8fb9\u7f18\u3001\u865a\u62df\u67f1\u5b50\uff09\uff0c\u5728\u753b\u9762\u8fb9\u7f18\u5904\u90fd\u4ea7\u751f\u4e86\u4e0e\u5b9e\u62cd\u955c\u5934\u73bb\u7483\u5b8c\u5168\u4e00\u81f4\u7684\u3001\u7269\u7406\u7ea7\u7684\u5f2f\u66f2\u548c\u8272\u6563\u6548\u5e94\u3002<\/p>\n

    \u865a\u5b9e\u4e24\u90e8\u5206\u7684\u7ebf\u6761\u5b8c\u7f8e\u4ea4\u7ec7\uff0c\u7269\u7406\u8fb9\u754c\u5728\u8fd9\u4e00\u523b\u88ab\u5f7b\u5e95\u62b9\u5e73\u3002<\/p>\n

    \n

    \u7ed3\u8bed\uff1a\u91cd\u5efa\u5149\u5f71\u7684\u7269\u7406\u5750\u6807\u7cfb<\/h2>\n

    \u5728\u865a\u62df\u5236\u4f5c\u7684\u5e9e\u5927\u7cfb\u7edf\u91cc\uff0c\u9ad8\u7cbe\u5ea6\u955c\u5934\u6807\u5b9a\u548c\u8ffd\u8e2a\u5bf9\u9f50\uff0c\u662f\u9690\u85cf\u5728\u7eda\u4e3d\u89c6\u89c9\u5e95\u4e0b\u7684\u5e95\u5c42\u903b\u8f91\u3002 \u5982\u679c\u65e0\u6cd5\u5728\u5fae\u79d2\u7ea7\u7684\u65f6\u95f4\u8f74\u4e0a\u9501\u6b7b\u65f6\u6ede\uff0c\u65e0\u6cd5\u5728\u5fae\u7c73\u7ea7\u7684\u7a7a\u95f4\u8f74\u4e0a\u7ea0\u504f\u8282\u70b9\uff0c\u518d\u5b8f\u5927\u7684\u6570\u5b57\u4e16\u754c\u4e5f\u53ea\u662f\u4e00\u573a\u6447\u6447\u6b32\u5760\u7684\u7a7a\u4e2d\u697c\u9601\u3002<\/p>\n

    \u865a\u5e7b\u5f15\u64ce 5 \u4e13\u6ce8\u4e8e\u6e32\u67d3\u4e09\u7ef4\u51e0\u4f55\u7684\u5b8c\u7f8e\uff0c\u4f46\u5b83\u5bf9\u4e8e\u7269\u7406\u955c\u5934\u5728\u73bb\u7483\u6298\u5c04\u4e0b\u7684\u201c\u4e0d\u5b8c\u7f8e\u201d\uff08\u7578\u53d8\u3001\u8282\u70b9\u79fb\u52a8\u3001\u65f6\u6ede\uff09\u5374\u65e0\u80fd\u4e3a\u529b\u3002<\/p>\n

    Aximmetry<\/span>\u00a0\u7684\u6280\u672f\u4ef7\u503c\uff0c\u6070\u6070\u5728\u4e8e\u5b83\u626e\u6f14\u4e86\u8fd9\u4e00\u573a\u865a\u5b9e\u5bf9\u63a5\u4e2d\u7684\u201c\u6807\u5b9a\u4e13\u5bb6\u4e0e\u65f6\u7a7a\u6cd5\u5b98\u201d<\/span>\u3002<\/p>\n

    \u5b83\u5728\u65f6\u57df\u7528\u56db\u5143\u6570\u7403\u5f62\u7ebf\u6027\u63d2\u503c\u9501\u6b7b\u4e86\u65f6\u5ef6\u5dee\uff0c\u5728\u7a7a\u95f4\u57df\u7528\u52a8\u6001\u8282\u70b9\u77e9\u9635\u6d88\u706d\u4e86\u89c6\u5dee\u6f02\u79fb\uff0c\u5728\u5149\u5b66\u57df\u7528 Brown-Conrady \u6a21\u578b\u8d4b\u4e88\u4e86\u6570\u5b57\u753b\u9762\u771f\u5b9e\u7684\u5149\u5b66\u7f3a\u9677\u3002 \u6b63\u662f\u56e0\u4e3a\u6709\u4e86 Aximmetry \u5728\u955c\u5934\u6807\u5b9a\u4e0e\u8ffd\u8e2a\u7ba1\u7ebf\u4e0a\u7684\u6781\u81f4\u4e25\u82db\uff0c\u865a\u62df\u5236\u7247\u4e2d\u7684\u6bcf\u4e00\u4e2a\u955c\u5934\u8fd0\u52a8\u624d\u62e5\u6709\u4e86\u575a\u5b9e\u7684\u7269\u7406\u6cd5\u5219\uff0c\u8ba9\u771f\u5b9e\u7684\u76f8\u673a\u4e0e\u865a\u62df\u7684\u65f6\u7a7a\uff0c\u771f\u6b63\u878d\u5408\u6210\u4e86\u4e00\u4e2a\u575a\u4e0d\u53ef\u6467\u3001\u7edd\u5bf9\u521a\u6027\u7684\u89c6\u89c9\u7edf\u4e00\u4f53\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u5728\u865a\u62df\u5236\u7247\uff08ICVFX\uff09\u548c\u6269\u5c55\u73b0\u5b9e\uff08XR\uff09\u7684\u5de5\u4e1a\u7ea7\u751f\u4ea7\u4e2d\uff0c\u201c\u6444\u50cf\u673a\u8ffd\u8e2a\u7cfb\u7edf\uff08Camera Tracking\uff09\u201d […]<\/p>\n","protected":false},"author":1,"featured_media":782,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-779","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aximmetry-study"],"_links":{"self":[{"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/posts\/779","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/comments?post=779"}],"version-history":[{"count":0,"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/posts\/779\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/media\/782"}],"wp:attachment":[{"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/media?parent=779"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/categories?post=779"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/en\/wp-json\/wp\/v2\/tags?post=779"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}