Hypothesizing a 3D scene from a segmented aerial photograph

Klamer Schutte; G. Boersema

doi:10.1117/12.169871

1 March 1994 Hypothesizing a 3D scene from a segmented aerial photograph

Klamer Schutte, G. Boersema

Proceedings Volume 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics; (1994) https://doi.org/10.1117/12.169871
Event: Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, 1993, Zurich, Switzerland

Abstract

In this paper a method is proposed to generate hypotheses about the existence of man-made objects from an aerial photograph. These hypotheses are used as the initial estimates for an estimation procedure that results in a volumetric scene description. The hypothesizing method is based on relaxation and bipartite matching. Its input consists of a description of the regions in the image, as found by a segmentation procedure. The output consists of 3D primitive objects.

Citation Download Citation

Klamer Schutte and G. Boersema "Hypothesizing a 3D scene from a segmented aerial photograph", Proc. SPIE 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, (1 March 1994); https://doi.org/10.1117/12.169871

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