Flow-Based Local Optimization for Image-to-Geometry Projection

Dellepiane, Matteo; Marroquim, Ricardo; Callieri, Marco; Cignoni, Paolo; Scopigno, Roberto

doi:10.1109/tvcg.2011.75

Cited by 33 publications

(28 citation statements)

References 25 publications

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“…Nevertheless, undesirable ghosting effects may be produced when the starting set of calibrated images is not perfectly aligned. This problem can be solved, for example, by applying a local warping using optical flow [21], [22]. Another issue, which is common to all the cited methods, is the projection of lighting artifacts on the model, i.e.…”

Section: B Color Acquisition and Visualization On 3d Modelsmentioning

confidence: 99%

From the Digitization of Cultural Artifacts to the Web Publishing of Digital 3D Collections: an Automatic Pipeline for Knowledge Sharing

Larue¹,

Benedetto²,

Dellepiane³

et al. 2012

JMM

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Abstract-In this paper, we introduce a novel approach intended to simplify the production of multimedia content from real objects for the purpose of knowledge sharing, which is particularly appropriate to the cultural heritage field. It consists in a pipeline that covers all steps from the digitization of the objects up to the Web publishing of the resulting digital copies. During a first stage, the digitization is performed by a high speed 3D scanner that recovers the object's geometry. A second stage then extracts from the recovered data a color texture as well as a texture of details, in order to enrich the acquired geometry in a more realistic way. Finally, a third stage converts these data so that they are compatible with the recent WebGL paradigm, then providing 3D multimedia content directly exploitable by end-users by means of standard Internet browsers. The pipeline design is centered on automation and speed, so that it can be used by non expert users to produce multimedia content from potentially large object's collections, like it may be the case in cultural heritage. The choice of a high speed scanner is particularly adapted for such a design, since this kind of devices has the advantage of being fast and intuitive. Processing stages that follow the digitization are both completely automatic and "seamless", in the sense that it is not incumbent upon the user to perform tasks manually, nor to use external softwares that generally need additional operations to solve compatibility issues.

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Section: B Color Acquisition and Visualization On 3d Modelsmentioning

confidence: 99%

From the Digitization of Cultural Artifacts to the Web Publishing of Digital 3D Collections: an Automatic Pipeline for Knowledge Sharing

Larue¹,

Benedetto²,

Dellepiane³

et al. 2012

JMM

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show abstract

“…Several works have presented approaches for sampling and mapping the color or the surface reflection properties (Lensch, Kautz, Goesele, Heidrich, & Seidel, 2003;Callieri, Cignoni, Corsini, & Scopigno, 2008;Dellepiane, Marroquim, Callieri, Cignoni, & Scopigno, 2012) and those solutions are now part of many off-theshelf digitization solutions.…”

Section: Enabling Technologies For Digitization and Management Of Sammentioning

confidence: 99%

Delivering and using 3D models on the web: are we ready?

Scopigno

Callieri

Dellepiane

et al. 2017

Virtual archaeol. rev.

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Abstract:Digital technologies are now mature for producing high quality digital replicas of Cultural Heritage (CH) assets. The research results produced in the last decade ignited an impressive evolution and consolidation of the technologies for acquiring high-quality digital three-dimensional (3D) models, encompassing both geometry and color. What remains still an open problem is how to deliver those data and related knowledge to our society. The web is nowadays the main channel for the dissemination of knowledge. Emerging commercial solutions for web-publishing of 3D data are consolidating and becoming a de-facto standard for many applications (e-commerce, industrial products, education, etc.). In this framework, CH is a very specific domain, requiring highly flexible solutions. Some recent experiences are presented, aimed at providing a support to the archival of archaeological 3D data, supporting web-based publishing of very high-resolution digitization results and finally enabling the documentation of complex restoration actions. All those examples have been recently implemented on the open-source 3D Heritage Online Presenter (3DHOP) platform, developed at CNR-ISTI.Key words: 3D digitization, virtual archaeology, cultural heritage, documentation, web-based 3D visualization, restoration Resumen:Las tecnologías digitales están ahora maduras para producir réplicas digitales de alta calidad de valores activos del patrimonio cultural (CH). Los resultados de la investigación producidos en la última década han mostrado una evolución impresionante y una consolidación de las tecnologías para la captura de modelos digitales tridimensionales (3D) de alta calidad, que abarcan la geometría y el color. Lo que queda aún por resolver está relacionado con la forma de distribuir los datos y el conocimiento relacionado con la sociedad. La web es hoy en día el principal canal utilizado para divulgar el conocimiento. Las soluciones comerciales nuevas relacionadas con la publicación en la red de datos en 3D se están consolidando y convirtiendo en un estándar de facto para muchas aplicaciones (comercio electrónico, productos industriales, educación, etc.). En este escenario, el patrimonio cultural es un dominio muy específico, que requiere soluciones muy flexibles. Se presentan algunas experiencias recientes, destinadas a proporcionar un apoyo al archivo de los datos arqueológicos 3D, la publicación web de los resultados de digitalización de muy alta resolución que permiten finalmente la documentación de trabajos de restauración complejos. Todos estos ejemplos se han implementado recientemente en la plataforma 3D Heritage Online Presenter (3DHOP) de código abierto, desarrollada en el CNR-ISTI.Palabras clave: digitalización 3D, arqueología virtual, patrimonio cultural, documentación, visualización web 3D, restauración

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“…Optical Flow: Optical-flow techniques [17], [18] have proven useful to correct small inaccuracies introduced in the image-to-geometry registration. We do not explicitly correct misaligned features along seams, although an optical-flow strategy can be integrated as a post-process into our pipeline.…”

Section: Related Workmentioning

confidence: 99%

Large-Scale Point-Cloud Visualization through Localized Textured Surface Reconstruction

Arıkan

Preiner

Scheiblauer

et al. 2014

IEEE Trans. Visual. Comput. Graphics

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Abstract-In this paper, we introduce a novel scene representation for the visualization of large-scale point clouds accompanied by a set of high-resolution photographs. Many real-world applications deal with very densely sampled point-cloud data, which are augmented with photographs that often reveal lighting variations and inaccuracies in registration. Consequently, the high-quality representation of the captured data, i.e., both point clouds and photographs together, is a challenging and time-consuming task. We propose a two-phase approach, in which the first (preprocessing) phase generates multiple overlapping surface patches and handles the problem of seamless texture generation locally for each patch. The second phase stitches these patches at rendertime to produce a high-quality visualization of the data. As a result of the proposed localization of the global texturing problem, our algorithm is more than an order of magnitude faster than equivalent mesh-based texturing techniques. Furthermore, since our preprocessing phase requires only a minor fraction of the whole dataset at once, we provide maximum flexibility when dealing with growing datasets.

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Flow-Based Local Optimization for Image-to-Geometry Projection

Cited by 33 publications

References 25 publications

From the Digitization of Cultural Artifacts to the Web Publishing of Digital 3D Collections: an Automatic Pipeline for Knowledge Sharing

From the Digitization of Cultural Artifacts to the Web Publishing of Digital 3D Collections: an Automatic Pipeline for Knowledge Sharing

Delivering and using 3D models on the web: are we ready?

Large-Scale Point-Cloud Visualization through Localized Textured Surface Reconstruction

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