Keynote Speaker :: CCGIDIS 2012


Reality-based 3D Modeling from Images and Laser Scans: Combining Accuracy and Automation




Reality-based 3D modeling is intended as the entire process to generate a digital 3D object from a set of images or range maps. Image-based modeling uses passive sensors (digital cameras) and requires a mathematical formulation to transform 2D image coordinates into 3D information. Range technologies use active optical sensors and can directly provide relatively accurate 3D data. Nowadays, it could be said that one of the most aspiration goal of photogrammetry and computer vision is to achieve precise and detailed 3D reconstructions from sets of images and laser scans. The practical aspect  is  to  realize  a  fully automated  scene reconstruction  that  has  metric  integrity  as  well  as  pre-designed accuracy and reliability. The aim of this presentation  is to report an image- and range-based production pipeline to reconstruct complex and detailed objects with a combination of digital reconstruction techniques coupled with survey information and maps for correct georeferencing and scaling, in order (i) to exploit the intrinsic potential and advantages of each technique, (ii) to compensate for the individual weaknesses of each method, and (iii) to achieve more accurate and complete surveying, modeling, interpretation and digital results. To demonstrate the reliability, precision and robustness of the combined use of photogrammetric and computer vision techniques for reality-based 3D modeling, several real applications are illustrated and discussed. These include crime scene reconstruction, cultural heritage documentation and preservation, architectural, geological, and medical applications.