Image Acquisition and Overlap

Image capture

Depending on the type of object/scene and the type of camera used, the following acquisition patterns are used:

Type of Scene

Image Acquisition


Circular acquisition around the object

Flat surface

Regular grid acquisition


Panoramic acquisition along corridor

3D information is extracted from overlapping images based on the stereoscopic effect. For each stereo pair, the corresponding pixels between the images are estimated using Dense Image Matching. Within SURE, generation of the 3D point cloud is based on multiple stereo models (Multi-Stereo Triangulation). Thus, the final surface quality is strongly influenced by the number of overlapping images and their similarity.

We strongly recommend that enough image overlap is established to ensure every point on the surface of interest is observed by 5 images (minimum 3 images). Furthermore, images should be taken at a similar image scale and thus images should be captured at similar distance to the object.

For details on image overlap of Aerial images, please see the Nadir Image Overlap page (also useful for Oblique imagery).


In SURE, the following  Scenario Presets are available:


Image Capture Configuration


Irregular and unknown image distributions

Aerial Oblique

Regular airborne grid acquisitions with “Maltese cross” configuration systems

Aerial Nadir

Regular airborne grid acquisitions in Nadir configuration

For the latter two scenarios, the regular structure is exploited in order to identify a minimum set of stereo models. 

Further Reading