High-Resolution Surface Reconstruction From Imagery for Close Range Cultural Heritage Applications

Abstract

ABSTRACT:The recording of high resolution point clouds with sub-mm resolution is a demanding and cost intensive task, especially with current equipment like handheld laser scanners. We present an image based approached, where techniques of image matching and dense surface reconstruction are combined with a compact and affordable rig of off-the-shelf industry cameras. Such cameras provide high spatial resolution with low radiometric noise, which enables a one-shot solution and thus an efficient data acquisition while satisfying high accuracy requirements. However, the largest drawback of image based solutions is often the acquisition of surfaces with low texture where the image matching process might fail. Thus, an additional structured light projector is employed, represented here by the pseudo-random pattern projector of the Microsoft Kinect. Its strong infrared-laser projects speckles of different sizes. By using dense image matching techniques on the acquired images, a 3D point can be derived for almost each pixel. The use of multiple cameras enables the acquisition of a high resolution point cloud with high accuracy for each shot. For the proposed system up to 3.5 Mio. 3D points with sub-mm accuracy can be derived per shot. The registration of multiple shots is performed by Structure and Motion reconstruction techniques, where feature points are used to derive the camera positions and rotations automatically without initial information.

Low-Cost 3d Devices and Laser Scanners Comparison for the Application in Orthopedic Centres

“…Several publications dealt with the possibility of using this device as a 3D acquisition instrument considering also its calibration to evaluate its potential as a low cost 3D instrument Kourosh, Elberink, 2012;Pagliari et al, 2014). The Kinect sensors, both version 1 and 2, have been used for several 3D application s cultural heritage (Wenzel et al, 2012), for robotics (Ayrton et al, 2012) and for human body scanning (Tong et al, 2012). In medical applications, the 3D scanning of a human body involved mainly highly rated laser scanners for acquiring the parts of interest, in order to improve diagnosis or to facilitate the creation of 3D printed orthosis or prosthesis (Baronio et al, 2016;Telfer, Woodburn, 2010).…”

From Point Cloud to Digital Fabrication: A Tangible Reconstruction of Ca’ Venier Dei Leoni, the Guggenheim Museum in Venice

“…A common feature of the systems used today is that they can be easily carried, which means that costs can also be reduced. Laser scanning and photogrammetry give a very similar generic product also in terms of accuracy, the point cloud, which can be complementary to the others (Bastonero et al, 2014;Wenzel et al, 2012;Remondino 2010;Bonora et al, 2005)). Their integration shows a great potential, balancing the downsides of both techniques in specific fields of application.…”

DEPTH CAMERAS ON UAVs: A FIRST APPROACH

“…On the other hand, although depth cameras have been tested for their performance in cultural heritage applications (Wenzel et al, 2012;Cappelletto et al, 2016), up to our knowledge, there is no much published work on using depth cameras mounted on UAV for cultural heritage applications.…”