Abstract
As Chapter 3 illustrated, vanishing points serve as useful tools for qualitative and quantitative descriptions of edge geometry. Quantitatively, they provide estimates of line orientation in object space; qualitatively, they can be employed to constrain the search for primitives in hypothesis space. The techniques developed in Chapter 3 exploited the primitive geometry to hypothesize plausible 3D orientations, or labels, for each line segment in the image.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media New York
About this chapter
Cite this chapter
Shufelt, J. (2000). Geometric Constraints for Hypothesis Generation. In: Geometric Constraints for Object Detection and Delineation. The Springer International Series in Engineering and Computer Science, vol 530. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5273-4_4
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5273-4_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7405-3
Online ISBN: 978-1-4615-5273-4
eBook Packages: Springer Book Archive