Accuracy of typical photogrammetric networks in cultural heritage 3D modeling projects

Abstract

ABS TRACT:The easy generation of 3D geometries (point clouds or polygonal models) with fully automated image-based methods poses nontrivial problems on how to check a posteriori the quality of the achieved results. Clear statements and procedures on how to plan the camera network, execute the survey and use automatic tools to achieve the prefixed requirements are still an open issue. Although such issues had been discussed and solved some years ago, the importance of camera network geometry is today often underestimated or neglected in the cultural heritage field. In this paper different camera network geometries, with normal and convergent images, are analyzed and the accuracy of the produced results are compared to ground truth measurements.

Accuracy of 3d Reconstruction in an Illumination Dome

“…Therefore, the tie points were filtered in order to retain only the most reliable observations. The filtering procedure was carried out by applying a tool 3DOM internally developed at FBK (Nocerino et al, 2014), which reduces the number of image observations, so that they can be efficiently handled by classical photogrammetric bundle adjustment. Furthermore, the tool regularises the point distribution in object space, while preserving connectivity and high multiplicity between observations.…”

“…Testing should take into account existing standards and geometric features (Beraldin et al, 2007). Previous research has studied the performance of test objects for the scientific evaluation and verification of geometric accuracy of optical 3D imaging systems: Boehler et al (2005) investigated laser scanner accuracy with dedicated and calibrated geometric features; Tuominen and Niini (2008) verified a real time optical 3D sensor in a production line; Teutsch et al (2005) developed methods for geometric inspection and automated correction for laser point clouds. Luhmann (2011) identified parameters as physical representation of object surface, orientation strategies, image processing of homologue features and representation of object or workpiece coordinate systems and object scale.…”

Emergency Survey of Remote and Endangered Archaeological Sites

“…Even if the elaboration software provides a result to achieve a high-quality results in terms of accuracy, some photographic practical rules must be followed. (Nocerino et al, 2014) These rules were valid in the past and are even more essential today, because the process is nearly completely automatic and the operator cannot intervene in the process of identification of points. For these reason, even more than in the past, the image quality should be superb.…”

Vision metrology and Structure from Motion for archaeological heritage 3D reconstruction: a Case Study of various Roman mosaics

“…The photogrammetric strips have been selected providing a forward overlap and a lateral overlap of 70 %. Some additional convergent strips have been also planned along the edge of the mosaic to increase the redundancy of the measures at the edges of the photogrammetric block and to limit bowl-effect in the 3D model [24]. In this way three photogrammetric datasets have been obtained, called "Mosaic-1" for the first mosaic, "Mosaic-2" for the second and "Mosaic-3" for the third.…”