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 6. Engenharia de dados de nuvens de pontos
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É altura de revelar os meandros da engenharia de dados 3D - especificamente de nuvens de pontos. Embora as nuvens de pontos ofereçam uma representação rica da geometria 3D, a extração de informações significativas requer técnicas especializadas para lidar com o ruído e a redundância e para ajudar a discernir padrões relevantes. Precisamos de uma forma de transformar dados brutos de nuvens de pontos numa forma refinada, extraindo caraterísticas essenciais que melhorem o desempenho de tarefas a jusante, como a deteção de formas 3D(Capítulo 9), a classificação(Capítulo 15) e a deteção de objectos(Capítulo 16). A unidade de base são os nossos dados. Queremos refiná-los para que façam mais sentido para a nossa aplicação final.
Vejamos um pequeno exemplo. Imagina que queres analisar uma ressonância magnética do cérebro (uma seleção de cortes 2D do cérebro) para identificar se zonas específicas estão sujeitas à ameaça potencial de um tumor. Poderíamos passar o conjunto de imagens que constituem o nosso conjunto de dados diretamente a um neurocirurgião experiente. Cabe-lhe a ele interpretar a primeira imagem, repetir esta previsão nos vários cortes e, em seguida, fazer o seu diagnóstico e análise. Isto coloca um elevado nível de responsabilidade na qualidade dos dados. Se tiveres muito ruído (por exemplo, se o doente ...
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