@incollection{Georgopoulos2017a,

title = {Data Acquisition for 3D Geometric Recording: State of the Art and Recent Innovations},

author = {Andreas Georgopoulos and Elisavet Konstantina Stathopoulou},

editor = {Matthew L. Vincent and {V\'{i}ctor Manuel L \'{o}}pez-Menchero Bendicho and Marinos Ioannides and Thomas E. Levy},

url = {http://link.springer.com/10.1007/978-3-319-65370-9_1},

doi = {10.1007/978-3-319-65370-9_1},

year  = {2017},

date = {2017-01-01},

booktitle = {Herit. Archaeol. Digit. Age Acquis. Curation, Dissem. Spat. Cult. Herit. Data},

pages = {1--26},

publisher = {Springer International Publishing, Cham},

abstract = {Digitization of Cultural Heritage assets and sites is a broad term that includes quantitative as well as qualitative data acquisition. Towards a holistic, complete documentation, as outlined by the Venice Charter (1964), capturing the geometry of an object is considered to be one of the first and most essential steps. Within the photogrammetric, the computer vision and the robotics communities, various techniques for 2D, 3D, even 4D data acquisition and digitization have been developed during the past years. Cultural heritage assets are still a challenging object due to the complexity of their shape, the variety of their types, the high requirements of accuracy, and the heterogeneity of the end-users. This chapter focuses on the state of the art of the geometric 3D data acquisition methods, classifying them generally into passive and active. For each category, the available sensors and their working principles are presented and criticized, followed by acquisition network design suggestions and implementation guidelines. In this way, the reader is presented with their merits and disadvantages in order to be able to decide for their correct implementation.},

keywords = {3D geometric recording, Depth sensors, Image-based 3D reconstruction, Photogrammetry, Scanning},

pubstate = {published},

tppubtype = {incollection}

}