{"id":47554,"date":"2025-11-20T06:17:50","date_gmt":"2025-11-19T21:17:50","guid":{"rendered":"https:\/\/kochihen.replan.ne.jp\/?p=47554"},"modified":"2025-11-20T06:17:50","modified_gmt":"2025-11-19T21:17:50","slug":"%e3%80%90%e5%b0%be%e5%bc%b5%e5%be%b3%e5%b7%9d%e5%ae%b6%e4%ba%ba%e7%89%a9%e5%86%99%e7%9c%9f%e3%81%aeai%e8%a7%a3%e6%9e%90%e3%81%a7%e3%80%81%e5%ae%b6%e5%ba%b7%e3%81%ae%e9%a1%94%e3%80%8c%e9%a1%9e%e6%8e%a8","status":"publish","type":"post","link":"http:\/\/kochihen.replan.ne.jp\/?p=47554","title":{"rendered":"\u3010\u5c3e\u5f35\u5fb3\u5ddd\u5bb6\u4eba\u7269\u5199\u771f\u306eAI\u89e3\u6790\u3067\u3001\u5bb6\u5eb7\u306e\u9854\u300c\u985e\u63a8\u300d\uff1f\u3011"},"content":{"rendered":"

\"\"<\/a>
\n\"\"<\/a>
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\n\u3000\u3061\u3087\u3063\u3068\u6c17\u306b\u306a\u3063\u305f\u306e\u3067AI\u306eGemini\u306b\uff1c\u89aa\u5b50\uff14\u4ee3\u306e\u5199\u771f\u304b\u3089\u305d\u306e\u524d\u306e\u4e16\u4ee3\u306e\u9762\u5f71\u3092\u60f3\u50cf\u3059\u308b\u3053\u3068\u306f\u53ef\u80fd\u304b\uff1f \uff1e\u3068\u554f\u3044\u304b\u3051\u3066\u307f\u305f\u3089\u3001\u4ee5\u4e0b\u306e\u8fd4\u7b54\u3002
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\n\u3000\u300c\u3053\u308c\u306f\u3001\u7279\u5fb4\u62bd\u51fa\u3068\u878d\u5408\u3001\u5e74\u9f62\u9000\u884c\u30fb\u9032\u5c55\u3068\u9854\u306e\u5909\u5316\u4e88\u6e2c\u3068\u3044\u3046\u624b\u6cd5\u306b\u3088\u3063\u3066\u25cf\u5148\u7956\u9854\u306e\u751f\u6210: 4\u4ee3\u306e\u9854\u306e\u7279\u5fb4\u3092\u7d71\u5408\u3057\u3001\u305d\u3053\u306b\u73fe\u308c\u3066\u3044\u306a\u3044\u304c\u907a\u4f1d\u7684\u306b\u5b58\u5728\u3057\u3046\u308b\u300c\u4eee\u60f3\u306e\u5148\u7956\u300d\u306e\u9854\u3092\u751f\u6210\u3002\u25cf\u300c\u66fe\u7956\u7236\u6bcd\u306e\u82e5\u304b\u308a\u3057\u9803\u300d\u306e\u518d\u69cb\u7bc9: \u66fe\u7956\u7236\u6bcd\u306e\u9854\u5199\u771f\u304b\u3089\u3001\u305d\u306e\u82e5\u3044\u9803\uff08\u4f8b\u3048\u3070\u3001\u5f7c\u3089\u306e\u89aa\u304c\u305d\u306e\u5e74\u9f62\u3060\u3063\u305f\u9803\uff09\u306e\u9854\u3092\u63a8\u6e2c\u3057\u3066\u751f\u6210\u3002\u25cf\u907a\u4f1d\u7684\u7279\u5fb4\u306e\u5f37\u8abf: \u8907\u6570\u306e\u4e16\u4ee3\u306b\u308f\u305f\u3063\u3066\u73fe\u308c\u308b\u7279\u5fb4\uff08\u4f8b\u3048\u3070\u3001\u7279\u5b9a\u306e\u76ee\u306e\u5f62\u3084\u9f3b\u306e\u9ad8\u3055\uff09\u3092\u62bd\u51fa\u3057\u3001\u305d\u308c\u3092\u5f37\u8abf\u3057\u305f\u753b\u50cf\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3067\u300c\u5bb6\u7cfb\u306e\u9854\u300d\u306e\u50be\u5411\u3092\u8996\u899a\u5316\u3057\u307e\u3059\u300d
\n\u3000\u3068\u3044\u3046\u3053\u3068\u306a\u306e\u3060\u305d\u3046\u3067\u3059\u3002
\n\u3000\u307e\u3041\u3001\u691c\u8a3c\u306f\u3057\u3088\u3046\u304c\u306a\u3044\u3053\u3068\u3067\u3059\u304c\u300c\u985e\u63a8\u753b\u50cf\u300d\u306e\u7bc4\u56f2\u3067\u3042\u308c\u3070\u5229\u7528\u4fa1\u5024\u306f\u3042\u308b\u304b\u3082\u77e5\u308c\u306a\u3044\u3002\u3042\u308b\u3044\u306f\uff13\u4e16\u4ee3\u306e\u9854\u5199\u771f\u304b\u3089\uff14\u4e16\u4ee3\u524d\u3092\u985e\u63a8\u3055\u305b\u3066\u3001\u305d\u306e\u753b\u50cf\u3068\u898b\u305b\u3066\u3044\u306a\u3044\u30db\u30f3\u30e2\u30ce\u306e\uff14\u4e16\u4ee3\u524d\u524d\u753b\u50cf\u3068\u3092\u5bfe\u6bd4\u3059\u308b\u3001\u30a4\u30b8\u30ef\u30eb\u691c\u8a3c\u3082\u3042\u308a\u5f97\u308b\u3002\u305d\u308c\u3092\u53cd\u6620\u3055\u305b\u7cbe\u5ea6\u3092\u9ad8\u3081\u308b\u5de5\u592b\u3082\u3042\u308a\u5f97\u308b\u304b\u3068\u3002
\n\u3000\u5148\u65e5\u3042\u308bAI\u5229\u6d3b\u7528\u306eWEB\u8b1b\u6f14\u3092\u805e\u3044\u3066\u3044\u307e\u3057\u305f\u304c\u3001\u307e\u3060\u307e\u3060\u9ece\u660e\u671f\u306e\u3088\u3046\u3067\u3001\u65e5\u672c\u4eba\u7684\u306a\u300c\u9032\u5316\u300d\u306e\u3055\u305b\u65b9\u3068\u3044\u3046\u3082\u306e\u304c\u3042\u308a\u5f97\u308b\u3088\u3046\u306b\u3082\u601d\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u304a\u77e5\u3089\u305b
\n\u62d9\u66f8\u300c\u4f5c\u5bb6\u3068\u4f4f\u7a7a\u9593\u300d\u5e7b\u51ac\u820e\u304b\u3089\u96fb\u5b50\u66f8\u7c4d\u3067\u767a\u520a
\n\u304a\u6c42\u3081\u306fAmazon\u3067\u3002
\nhttps:\/\/amzn.asia\/d\/eUiv9yO<\/a>
\n\"\"<\/a><\/p>\n

English version\u2b07<\/p>\n

\u3010AI Analysis of Owari Tokugawa Family Portraits: \u201cInferring\u201d Ieyasu’s Face?\u3011
\nIdeas for its application are truly in their infancy. Couldn’t it be used for all sorts of purposes? What’s being tested is imagination. …<\/p>\n

\u3000The other day, I visited the \u201cPioneer Memorial Museum\u201d in Yakumo Town, Hokkaido, where photographs of the heads of the Owari Tokugawa family from the late Edo period through the Meiji era were on display. While I’m a history buff, this was my first time encountering such portraits of historical figures, and it sparked all sorts of imaginings.
\n\u3000My curiosity centered on this: Is it possible to create an \u201cimagined portrait\u201d of ancestors from centuries ago, based on surviving photographs\u2014specifically, several generations of portraits showing clear generational succession through blood ties? In the case of the Owari Tokugawa family, photographs spanning about three generations are likely preserved. So, perhaps an imagined image of \u201cTokugawa Ieyasu\u201d might be possible. I suspect it would be difficult using only paternal lineage photos, as it wouldn’t account for maternal DNA influence, but I wondered if creating a \u201creconstructed image\u201d as a possibility might be feasible.
\nCurious, I asked the AI Gemini: \u201cIs it possible to imagine the likeness of generations preceding four generations of parent-child photos?\u201d It responded:
\n\u3000\u201cYes, it is possible to imagine the likeness of generations prior to the four generations of photos using AI image manipulation.\u201d Huh? Are you sure about that? But…
\n“This is achieved through feature extraction and fusion, age regression\/progression, and facial change prediction techniques: \u25cf Ancestral Face Generation: Integrating facial features from four generations to generate a \u2018virtual ancestor\u2019 face that isn’t present but could exist genetically. \u25cf Reconstructing \u2018Great-Grandparents in Their Youth\u2019: Inferring and generating the faces of great-grandparents during their younger years (e.g., when their parents were that age) from existing photos. \u25cf Emphasizing Genetic Traits: Visualizing family facial tendencies by extracting features common across multiple generations (e.g., specific eye shapes or nose heights) and generating images that accentuate them.”
\nThat’s apparently how it works.
\n\u3000Well, verification is impossible, but within the scope of \u201cinferred images,\u201d it might have some value. Or, a mischievous verification could involve inferring the face of someone four generations back from photos of three generations and then comparing that image with the actual, unseen image of the person four generations back. Efforts to reflect that and improve accuracy might also be possible.
\n\u3000I recently attended a web lecture on AI utilization, and it seems we’re still in the early days. I suspect there might be a distinctly Japanese approach to \u201cevolving\u201d this technology.<\/p>\n

Announcement
\nMy book \u201cWriters and Living Spaces\u201d is now available as an e-book from Gentosha.
\nAvailable on Amazon.<\/p>\n

\u3000<\/p>\n","protected":false},"excerpt":{"rendered":"

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