Abstract

Knowledge of the position of the vanishing point is the key for geometrical modeling of an image containing a reflective surface or cast shadows. Such an image can be analyzed as two subimages that constitute a stereo pair. For this model-estimation task an automatic method is presented that utilizes motion statistics and the statistical properties of image points for the determination of point correspondence and the subsequent estimation of vanishing point position, optimized by use of a goodness-of-fit function. We show that this approach gives robust results in widely different real-world environments, even when the correspondence is corrupted with considerable amounts of noise.

© 2006 Optical Society of America

Full Article  |  PDF Article
Related Articles
Automated 3D trajectory measuring of large numbers of moving particles

Hai Shan Wu, Qi Zhao, Danping Zou, and Yan Qiu Chen
Opt. Express 19(8) 7646-7663 (2011)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (4)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription