2012
DOI: 10.1007/978-3-642-34234-9_2
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Photogrammetric Point Cloud Collection with Multi-camera Systems

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Cited by 11 publications
(5 citation statements)
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“…As well known and tested by scientific community (Kerstenand andLindstaedt, 2012, Hullo et al, 2009;Fritsch et al, 2011;Fritsch et al, 2012), the point cloud obtained by RPAS photogrammetry allowed to generate a 3D model of the roofs of the entire complex which was, however, defective of information on the external masonry ledge, since the images were only acquired with a nadiral point of view. Conversely, the point cloud acquired by laser scanner technique allowed to develop a 3D model very detailed on the facades but with a lack of information on the roofs and ledges.…”
Section: Different Sensors Clouds Fusion and New Modelsmentioning
confidence: 99%
“…As well known and tested by scientific community (Kerstenand andLindstaedt, 2012, Hullo et al, 2009;Fritsch et al, 2011;Fritsch et al, 2012), the point cloud obtained by RPAS photogrammetry allowed to generate a 3D model of the roofs of the entire complex which was, however, defective of information on the external masonry ledge, since the images were only acquired with a nadiral point of view. Conversely, the point cloud acquired by laser scanner technique allowed to develop a 3D model very detailed on the facades but with a lack of information on the roofs and ledges.…”
Section: Different Sensors Clouds Fusion and New Modelsmentioning
confidence: 99%
“…filtering by early 2D appearance-based constraints, but mainly because of utilizing graphics processors and parallelizing the computation on multi-core computer architectures. [12] describes a method for accurate surface reconstruction where 2 billion 3D points were acquired efficiently with sub-mm accuracy using a compact hand-held camera rig consisting of a number of industrial cameras mounted on a frame in order to acquire images from multiple views at once. The images are processed with an automated software pipeline.…”
Section: Related Workmentioning
confidence: 99%
“…The level of current technologies allows the collection of big data in a very short time and moving most of the surveying work to the office. It is possible mainly due to digital photogrammetry [1,2] and laser scanning [3,4]. Combining these methods is commonly used in modern systems called mobile mapping systems [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%