Image Guided Reconstruction of Un-sampled Data: A Filling Technique for Cultural Heritage Models

Abstract

Cultural Heritage (CH) is one of the major fields of application of 3D scanning technologies. In this context, one of the main limitations perceived by the practitioners is the uncompleteness of the sampling. Whenever we scan a complex artifact, the produced sampling usually presents a large number of unsampled regions. Many algorithmic solutions exist to close those gaps (from specific hole-filling algorithms to the drastic solution of using water-tight reconstruction methods). Unfortunately, adding patches over unsampled regions is an issue in CH applications: if the 3D model should be used as a master document over the shape (and status) of the artwork, informed CH curators usually do not accept that an algorithm is used to guess portions of a surface.In this paper, we present a low-cost setup and related algorithms to reconstruct un-sampled portions of the 3D models by inferring information about the real shape of the missing region from photographs. Data needed to drive the surface completion process are obtained by coupling a calibrated pattern of laser diodes to a digital camera. Thus, we are proposing a simple active acquisition device (based on consumer components and more flexible than standard 3D scanning devices) to improve selectively the sampling produced by a standard 3D scanning device.After acquiring one or more images with the laserenhanced camera, an almost completely automatic process analyzes the image/s in order to extract the pattern, to estimate the laser projector intersections over the surface and M. Dellepiane ( ) · A. Venturi · R. Scopigno determining coordinates of those points (using the consolidated triangulation approach). Then, the gathered geometric data are used to steer the hole filling in order to obtain a patch which is coherent with the real shape of the object. A series of tests on real objects proves that our method is able to recover geometrical features that cannot be reconstructed using state-of-the-art methods. Consequently, it can be used to obtain complete 3D models without creating plausible but false data.

Pinturas murales de la casa de Ariadna (Pompeya, Italia): Un estudio multidisciplinar de su estado actual enfocado a una futura restauración y conservación preventiva

“…In the last years, digital elaboration of the images has also been used in the de Plantas del Centro de Investigación Ames de la NASA en California, utilizando una fuente de luz calibrada en elfield of CH conservation (33). In fact, professional photography, specialized in art and restoration, gives a new vision for scientific photographical documentation (34).…”

Detection and filling of pseudo-hole in complex curved surface objects

“…All of these are caused by the presence of the pseudo hole and the resistance to the research work, which highlights the necessity and importance of the triangle network model to detect and fill the pseudo hole. Dellepiane et al (2011) did a number of research works about filling and repairing the pseudo hole. They proposed a filling method of adopting triangular patch to repair pseudo hole.…”

3D Digital Microscopy for Characterizing Punchworks on Medieval Panel Paintings

“…The early studies were essentially based on stereomicroscope examinations, and for a long time images were recorded using photography [Skaug 1994;]. These 2D approaches could be considered out of date as many 3D imaging techniques are now considered established in the field of cultural heritage and conservation [Arbace et al 2013;Patay-Horváth 2013;Neiß 2013;Alfed 2013;Zhang et al 2012;Dellepiane et al 2011;Sansoni et al 2009;Van Den Berg 2008;Poggi et al 2005].…”