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3D reconstruction from a single image using geometric constraints by Frank A. van den Heuvel is a Environmental Science article available to read on EtoBox.

What is 3D reconstruction from a single image using geometric constraints about?

Photogrammetry has many advantages as a technique for the acquisition of three-dimensional models for virtual reality. But the traditional photogrammetric process to extract 3D geometry from multiple images is often considered too labour-intensive. In this paper a method is presented with which a polyhedral object model can be efficiently derived from measurements in a single image combined with geometric knowledge on the object. Man-made objects can often be described by a polyhedral model and usually many geometric constraints are valid. These constraints are inferred during image interpretation or may even be extracted automatically. In this paper different types of geometric constraints and their use for object reconstruction are discussed. Applying more constraints than needed for reconstruction will lead to redundancy and thereby to the need for an adjustment. The redundancy is the basis for reliability that is introduced by testing for possible measurement errors. The adjusted observations are used for object reconstruction in a separate step. Of course the model that is obtained from a single image will not be complete, for instance due to occlusion. An arbitrary number of

Who reads 3D reconstruction from a single image using geometric constraints?

Author

Frank A. van den Heuvel

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0924-2716)

Published

1998

Language

EN

Field

Environmental Science (Physical Sciences)