A Robust Method for Filling Holes in 3D Meshes Based on Image Restoration

Tejado, Inés; Salamanca, Santiago; Merchán, Pilar; Adán, Antonio; Cerrada, Carlos; Cambero, Inocente

doi:10.1007/978-3-540-88458-3_67

Cited by 8 publications

(11 citation statements)

References 7 publications

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“…The first approach is surface oriented, where the repairing process relies on filling holes, and stitching separated or overlapping regions. However, the available algorithms [40][41][42]63] belonging to this approach cannot resolve all the artefacts, especially when all the mesh triangles are isolated. Henceforward, we chose to proceed with the second approach which is volume oriented.…”

Section: Mesh Repairingmentioning

confidence: 94%

A local approach for 3D object recognition through a set of size functions

Mhamdi

Ziou

2014

Image and Vision Computing

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Section: Mesh Repairingmentioning

confidence: 94%

A local approach for 3D object recognition through a set of size functions

Mhamdi

Ziou

2014

Image and Vision Computing

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“…Initial work can be found in [19]. This paper describes a method for filling holes in a 3D partial mesh, which corresponds to only one view of the object.…”

Section: Scanning System and Methodologymentioning

confidence: 99%

Restitution of Sculptural Groups Using 3D Scanners

Merchán

Salamanca

Adán

2011

Sensors

Self Cite

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Imagine for a moment that you have to solve a 3D jigsaw of which you have lost several pieces. You have also lost the original box-top showing the final picture, and as if that were not enough, some of the pieces you do have may belong to some other jigsaw. This is in essence the sort of challenge that we faced in the novel project that we shall be describing in this paper. The final aim of the project was, with the help of 3D scanners, to digitalize and reconstruct multi-piece classical sculptures. Particularly, we tackle the restitution of the so-called “Aeneas Group”, a famous iconographic reference during the Roman Empire. We have undertaken this ambitious project in collaboration with the research department of the Spanish National Museum of Roman Art (MNAR). This paper summarizes the real problems that arose and had to be solved, the innovations, and the main results of the work that we have carried out over these recent years.

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“…Se decidió probar esta idea novedosa, inicialmente sobre vistas parciales y con diversos algoritmos de restauración. Esos trabajos son los que se presentan en Pérez et al (2008) y Salamanca et al (2008), donde se parte de una base de datos de vistas parciales, a las que se generan huecos artificialmente. Se rellenan esos huecos aplicando dos métodos de restauración diferentes y se compara el resultado con la vista inicial sin huecos (medida del error, o de las distancias entre malla original y restaurada).…”

Section: Revisión De Trabajos Previosunclassified

Relleno de huecos en mallas 3D completas mediante algoritmos de restauración de imagen

Hernández

Miño

Somolinos

et al. 2012

Revista Iberoamericana de Automática e Informática Industrial R

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En este artículo se propone un método para rellenar huecos en objetos 3D. La idea principal es la de utilizar un algoritmo de restauración de imágenes para reconstruir las partes que se han de completar. Para ello es necesario hacer una transformación de los datos de la superficie 3D en datos de imagen 2D. Por tanto, el algoritmo propuesto parte de una etapa inicial de identificación de huecos. A continuación se hace la selección, para cada hueco, de una porción de malla representativa. Seguidamente se calcula el punto de vista o plano de proyección adecuado para obtener una imagen de rango de esa porción de malla. A la imagen de rango obtenida se le aplica el algoritmo de restauración de imagen. Finalmente, se aplica una transformación inversa 2D a 3D y se integra el resultado con la malla inicial. Se trata de un algoritmo robusto, válido para diversos tipos de huecos y diferentes tamaños de los mismos.

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A Robust Method for Filling Holes in 3D Meshes Based on Image Restoration

Cited by 8 publications

References 7 publications

A local approach for 3D object recognition through a set of size functions

A local approach for 3D object recognition through a set of size functions

Restitution of Sculptural Groups Using 3D Scanners

Relleno de huecos en mallas 3D completas mediante algoritmos de restauración de imagen

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