{"id":10471,"date":"2024-03-03T15:35:29","date_gmt":"2024-03-03T15:35:29","guid":{"rendered":"https:\/\/dailyai.com\/?p=10471"},"modified":"2024-03-04T11:20:05","modified_gmt":"2024-03-04T11:20:05","slug":"researchers-build-synthetic-dog-dataset-in-gta-v-to-create-3d-models","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2024\/03\/researchers-build-synthetic-dog-dataset-in-gta-v-to-create-3d-models\/","title":{"rendered":"Os investigadores criam um conjunto de dados sint\u00e9ticos de c\u00e3es no GTA-V para criar modelos 3D"},"content":{"rendered":"

Os investigadores da Universidade de Surrey desenvolveram um m\u00e9todo para transformar fotografias de c\u00e3es em modelos 3D pormenorizados.\u00a0<\/b><\/p>\n

O material de treino? N\u00e3o s\u00e3o c\u00e3es verdadeiros, mas sim imagens geradas por computador do mundo virtual do jogo de sucesso Grand Theft Auto V (GTA V).\u00a0<\/span><\/p>\n

Moira Shooter, uma estudante de investiga\u00e7\u00e3o p\u00f3s-graduada envolvida no estudo, <\/span>partilhado do estudo<\/span><\/a>\"O nosso modelo foi treinado em c\u00e3es CGI - mas conseguimos utiliz\u00e1-lo para criar modelos esquel\u00e9ticos 3D a partir de fotografias de animais reais. Isso poderia permitir aos conservacionistas detetar animais selvagens feridos ou ajudar os artistas a criar animais mais realistas no metaverso\".<\/span><\/p>\n

At\u00e9 \u00e0 data, os m\u00e9todos de ensino da IA sobre estruturas 3D envolvem a utiliza\u00e7\u00e3o de fotografias reais juntamente com dados sobre as posi\u00e7\u00f5es 3D reais dos objectos, frequentemente obtidos atrav\u00e9s da tecnologia de captura de movimentos.\u00a0<\/span><\/p>\n

No entanto, quando se aplicam estas t\u00e9cnicas a c\u00e3es ou outros animais, \u00e9 frequente haver demasiados movimentos para seguir e \u00e9 dif\u00edcil conseguir que os c\u00e3es se comportem durante tempo suficiente.\u00a0<\/span><\/p>\n

Para construir o seu conjunto de dados sobre c\u00e3es, os investigadores alteraram o c\u00f3digo do GTA V para substituir as suas personagens humanas por avatares de c\u00e3es atrav\u00e9s de um processo conhecido como \"modding\".\u00a0<\/span><\/p>\n

\"C\u00e3es\"
Exemplos do conjunto de dados sint\u00e9ticos de c\u00e3es gerados com o GTA-V. Fonte: Universidade de Surrey<\/a>.<\/figcaption><\/figure>\n

Os investigadores produziram 118 v\u00eddeos que capturam estes c\u00e3es virtuais em v\u00e1rias ac\u00e7\u00f5es - sentar, andar, ladrar e correr - em diferentes condi\u00e7\u00f5es ambientais. <\/span><\/p>\n

Isto culminou na cria\u00e7\u00e3o do \"DigiDogs\", uma base de dados rica que cont\u00e9m 27 900 fotogramas de movimentos de c\u00e3es, capturados de uma forma que a recolha de dados no mundo real n\u00e3o tinha permitido.<\/span><\/p>\n

Com o conjunto de dados em m\u00e3os, os passos seguintes utilizaram o modelo de IA DINOv2 da Meta devido \u00e0s suas fortes capacidades de generaliza\u00e7\u00e3o, afinando-o com o DigiDogs para prever com precis\u00e3o poses 3D a partir de imagens RGB de visualiza\u00e7\u00e3o \u00fanica.<\/span><\/p>\n

Os investigadores demonstraram que a utiliza\u00e7\u00e3o do conjunto de dados DigiDogs para treino resultou em poses de c\u00e3es em 3D mais precisas e realistas do que as treinadas em conjuntos de dados do mundo real, gra\u00e7as \u00e0 variedade de apar\u00eancias e ac\u00e7\u00f5es de c\u00e3es capturadas. <\/span><\/p>\n

O desempenho melhorado do modelo foi confirmado atrav\u00e9s de avalia\u00e7\u00f5es qualitativas e quantitativas exaustivas.<\/span><\/p>\n

\"C\u00e3es
Os modelos treinados no conjunto de dados sint\u00e9tico DigiDogs apresentaram uma precis\u00e3o melhorada em compara\u00e7\u00e3o com os modelos treinados apenas com o conjunto de dados do mundo real RGBD-Dogs. Pode ver isto aqui se olhar com aten\u00e7\u00e3o para os mapeamentos previstos (a rosa) em compara\u00e7\u00e3o com a verdade terrestre (a verde), que s\u00e3o melhorados no lado direito. Fonte: Universidade de Surrey<\/a>.<\/figcaption><\/figure>\n

Embora este estudo tenha representado um grande passo em frente na modela\u00e7\u00e3o de animais em 3D, a equipa reconhece que h\u00e1 mais trabalho a fazer, especialmente para melhorar a forma como o modelo prev\u00ea o aspeto de profundidade das imagens (a coordenada z).\u00a0<\/span><\/p>\n

Shooter descreveu o potencial impacto do seu trabalho, dizendo: \"As poses 3D cont\u00eam muito mais informa\u00e7\u00e3o do que as fotografias 2D. Da ecologia \u00e0 anima\u00e7\u00e3o, esta solu\u00e7\u00e3o elegante tem muitas utiliza\u00e7\u00f5es poss\u00edveis\".<\/span><\/p>\n

O <\/span>papel<\/span><\/a> ganhou o pr\u00e9mio de melhor artigo na Confer\u00eancia de inverno IEEE\/CVF sobre Aplica\u00e7\u00f5es da Vis\u00e3o por Computador. <\/span><\/p>\n

Abre a porta a um melhor desempenho dos modelos em \u00e1reas como a conserva\u00e7\u00e3o da vida selvagem e a renderiza\u00e7\u00e3o de objectos 3D para RV.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Os investigadores da Universidade de Surrey desenvolveram um m\u00e9todo para transformar fotografias de c\u00e3es em modelos 3D pormenorizados. O material de treino? N\u00e3o s\u00e3o c\u00e3es verdadeiros, mas sim imagens geradas por computador do mundo virtual do jogo de sucesso Grand Theft Auto V (GTA V). Moira Shooter, uma estudante de investiga\u00e7\u00e3o de p\u00f3s-gradua\u00e7\u00e3o envolvida no estudo, partilhou o estudo: \"O nosso modelo foi treinado em c\u00e3es CGI - mas conseguimos utiliz\u00e1-lo para criar modelos 3D do esqueleto a partir de fotografias de animais reais. Isso poderia permitir aos conservacionistas detetar animais selvagens feridos ou ajudar os artistas a criar animais mais realistas no metaverso\". Para<\/p>","protected":false},"author":2,"featured_media":10474,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[105,546],"class_list":["post-10471","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-machine-learning","tag-vr"],"yoast_head":"\nResearchers build synthetic dog dataset in GTA-V to create 3D models | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers from the University of Surrey have developed a method to transform photographs of dogs into detailed 3D models.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/pt\/2024\/03\/researchers-build-synthetic-dog-dataset-in-gta-v-to-create-3d-models\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta 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