April 2025
Intermediate to advanced
690 pages
19h 37m
Portuguese (Portugal, Brazil)
Content preview from Ciência de dados 3D com Python
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Capítulo 4. Representação e estruturação de dados 3D
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Representações de dados 3D , tais como nuvens de pontos, malhas, modelos paramétricos, voxels e mapas de profundidade, oferecem vários métodos para descrever e tratar entidades geométricas 3D. É essencial conhecer as suas diferenças e saber como gerir a sua singularidade. Ajuda-nos a escolher o formato certo para uma tarefa, a melhorar os fluxos de trabalho e a garantir que diferentes aplicações funcionam bem em conjunto.
Além disso, com o aumento do volume de dados 3D, precisamos de formas eficientes de lidar com conjuntos de dados 3D cada vez mais complexos, que muitas vezes aparecem em diferentes formas e formatos. De facto, isto pode causar problemas significativos quando se tenta integrar e estabelecer fluxos de trabalho analíticos 3D robustos. Pensa no tempo que gastas a mudar formatos, a lidar com problemas de compatibilidade e a tentar encontrar uma base comum para as tuas análises. Estes não são apenas problemas menores; afectam a sua produtividade e restringem o potencial do seu trabalho avançado.
Uma forma unificada de representar dados 3D é essencial para abrir novas oportunidades e ultrapassar os desafios dos diferentes formatos. Imagina um processo em que se pode alternar facilmente entre malhas 3D, Clouds de pontos e modelos volumétricos.
Este capítulo examina as nuvens de pontos como uma ligação ...
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