Stage 1
Sparse Point Cloud
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Photogrammetry is the three dimensional reconstruction of an area of interest using structure from motion algorithms. The technique uses overlapping images to reconstruct depth information, allowing the creation of a 3D point cloud, which can then be used for the creation of Digital Surface Models etc for GIS input and highly accurate textured 3D models which are suitable for import into CAD software, 3D printing, CGI video rendering, etc.
The outputs also permit measurement of stock piles, slope stability, areas, volumes, cross sections, and so on.
Although we specialise in reconstruction using airborne cameras, we are of course able to capture smaller objects as required.
The art and science of photogrammetry is currently enjoying a renaissance due to the ability of automated aerial vehicles to capture very high quality, repeatable data. Traditional photogrammetric missions can often be carried out at a higher resolution and lower cost using automated systems, and the addition of high precision GPS systems and very precise shutter syncing with the camera carried enables extremely accurate maps and models to be made.
As the cost of the technology falls and the accuracy of the results improves, the range and number of projects for which it can be usefully applied is rapidly expanding.
Applications include:
As-built Surveys
Cutural heritage structure analysis
Models for 3d printing
Land planning
Precision Agriculture
Quantity Surveying
Site Surveys
Topographical surveys
Timber stock assessment
Structure inspection
Enviromental impact assessment
Flood risk survey
Insurance assessment
The images below show how a model is built up. Stereo information extracted from pixels in overlapping images is used to build a sparse point cloud. The point cloud can then be densified and used to construct a solid, textured 3d model.