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Projeto de investigação
Big Data Challenges for Mathematics
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From Noisy Point Clouds to Complete Ear Shapes
Publication . Valdeira, Filipa; Ferreira, Ricardo; Micheletti, Alessandra; Soares, Cláudia; NOVALincs; DI - Departamento de Informática; Institute of Electrical and Electronics Engineers (IEEE)
Ears are a particularly difficult region of the human face to model, not only due to the non-rigid deformations existing between shapes but also to the challenges in processing the retrieved data. The first step towards obtaining a good model is to have complete scans in correspondence, but these usually present a higher amount of occlusions, noise and outliers when compared to most face regions, thus requiring a specific procedure. Therefore, we propose a complete pipeline taking as input unordered 3D point clouds with the aforementioned problems, and producing as output a dataset in correspondence, with completion of the missing data. We provide a comparison of several state-of-the-art registration and shape completion methods, concluding on the best choice for each of the steps.
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Entidade financiadora
European Commission
Programa de financiamento
H2020
Número da atribuição
812912
