Photogrammetry and knowledge representation in computer vision

Thomas M. Strat

doi:10.1117/12.182787

17 August 1994 Photogrammetry and knowledge representation in computer vision

Thomas M. Strat

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182787
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

Photogrammetry and computer vision are closely related disciplines with differing goals. This paper explores the ramifications of those differences with an eye toward identifying opportunities for leveraging the contributions of both fields. We identify some of the thorny issues that computer vision researchers are wrestling with and point out some of the areas where advances in photogrammetry can help. In most cases, further progress will require a shift from the conventional techniques of photogrammetry to ones that are more compatible with the ground-level, real time, and fully automated constraints that are emphasized in computer vision.

Citation Download Citation

Thomas M. Strat "Photogrammetry and knowledge representation in computer vision", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182787

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