Passive optical sensors and related image matching methods for 3D modeling

3D detailed models derived from digital survey techniques has increasingly developed and focused in many field of application, starting from the land and urban areas survey, with remote sensed data, to landscape assets and finally to Cultural Heritage items. The high detailed content and accuracy of such models makes them so attractive and usable for large sets of purposes.

The present paper focus on passive sensors techniques and related image matching systems since the profitable results, the low cost nature and the rich content of derivable information are extremely strategic in poor available resources sectors.

After a brief review of approachable methods, some comments about the need of accurate cameras calibration and about the best choices of matching strategies related to the configuration of shooting geometry and to the features of shape and materials of surveyed objects are referred. An experimental section provides some critic descriptions of applied tests, purposed to compare different solutions in diverse featured study cases.

Filiberto Chiabrando, Erik Costamagna, Antonia Spanò

 

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