From Noisy Point Clouds to Complete Ear Shapes

Valdeira, Filipa; Ferreira, Ricardo; Micheletti, Alessandra; Soares, Cláudia

http://hdl.handle.net/10362/136330

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From_Noisy_Point_Clouds_to_Complete_Ear_Shapes_Unsupervised_Pipeline.pdf		3.9 MB	Adobe PDF	Ver/Abrir

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Autores

Valdeira, Filipa

Ferreira, Ricardo

Micheletti, Alessandra

Soares, Cláudia

Resumo(s)

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.