{"id":72569,"date":"2026-03-05T18:17:53","date_gmt":"2026-03-05T13:17:53","guid":{"rendered":"https:\/\/chinaurdu.com\/eng\/?p=72569"},"modified":"2026-03-05T18:17:53","modified_gmt":"2026-03-05T13:17:53","slug":"chinese-scientists-develop-high-precision-3d-face-database","status":"publish","type":"post","link":"https:\/\/chinaurdu.com\/eng\/?p=72569","title":{"rendered":"Chinese scientists develop high-precision 3D face database"},"content":{"rendered":"<p>Chinese researchers have developed a high-precision three-dimensional (3D) face database and achieved a major breakthrough in personalized facial modeling, a development expected to enhance natural human-computer interaction.<\/p>\n<p>The advancement focuses on improving 3D facial keypoint detection, a core technology required for virtual humans to express emotions, recognize identities, and demonstrate embodied intelligence. Researchers noted that the absence of large-scale, accurately annotated 3D datasets has long limited existing detection algorithms, which often rely on 2D assistance or non-photorealistic models.<\/p>\n<p>A research team from the Shenzhen Institutes of Advanced Technology of the Chinese Academy of Sciences and Fujian University of Technology developed a new curvature-fused graph attention network (CF-GAT). The system can predict facial landmarks directly from raw point clouds, enabling a shift from \u201cone-size-fits-all\u201d approaches to personalized modeling.<\/p>\n<p>The study was published in the journal IEEE Transactions on Circuits and Systems for Video Technology.<\/p>\n<p>The team also constructed a customized 3D\/4D facial acquisition system and completed standardized data collection, creating what it described as the industry\u2019s largest high-precision, accurately annotated 3D facial database. The database contains approximately 200,000 high-fidelity 3D facial scans.<\/p>\n<p>In addition, the system includes a multi-expression 3D face dataset, a standardized 3D facial landmark dataset, a high-precision 3D human body dataset, and a dynamic 4D facial expression dataset.<\/p>\n<p>According to corresponding author Song Zhan, these databases provide foundational support for key technologies in humanoid robotics, enabling high-fidelity perception, expression modeling and behavior generation.<\/p>\n<p>He added that the datasets will further support data-driven large-model humanoid robot systems, helping build more natural and intelligent human-robot interaction capabilities in the future.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chinese researchers have developed a high-precision three-dimensional (3D) face database and achieved a major breakthrough in personalized facial modeling, a development expected to enhance natural human-computer interaction. The advancement focuses on improving 3D facial keypoint detection, a core technology required for virtual humans to express emotions, recognize identities, and demonstrate embodied intelligence. Researchers noted that [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":72570,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30,17],"tags":[],"ppma_author":[213],"class_list":{"0":"post-72569","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-latest","8":"category-world"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Chinese scientists develop high-precision 3D face database<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/chinaurdu.com\/eng\/?p=72569\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Chinese scientists develop high-precision 3D face database\" \/>\n<meta property=\"og:description\" content=\"Chinese researchers have developed a high-precision three-dimensional (3D) face database and achieved a major breakthrough in personalized facial modeling, a development expected to enhance natural human-computer interaction. The advancement focuses on improving 3D facial keypoint detection, a core technology required for virtual humans to express emotions, recognize identities, and demonstrate embodied intelligence. 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