Title
Metrology In Uncalibrated Images Given One Vanishing Point
Abstract
In this paper, we describe how 3D Euclidean measurements can be made in a pair of uncalibrated images, when only minimal geometric information are available in the image planes. This minimal information consists of a line in a reference plane, and the vanishing point orthogonal to it. Given such limited information, we show that the length ratio of two objects perpendicular to the reference plane can be expressed as a function of the camera intrinsic parameters. Assuming that the camera intrinsic parameters remain invariant between two views, we perform Euclidean metric measurements directly in the perspective images. © 2005 IEEE.
Publication Date
12-1-2005
Publication Title
Proceedings - International Conference on Image Processing, ICIP
Volume
3
Number of Pages
361-364
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICIP.2005.1530403
Copyright Status
Unknown
Socpus ID
33749242792 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33749242792
STARS Citation
Foroosh, Hassan; Cao, Xiaochun; and Bald, Murat, "Metrology In Uncalibrated Images Given One Vanishing Point" (2005). Scopus Export 2000s. 3273.
https://stars.library.ucf.edu/scopus2000/3273