Abstract

The determination of a three-dimensional object’s shape and orientation from its silhouettes is studied on the understanding that no a priori information about the object is known. The result of this study is an algorithm that could be suitable for incorporation into a robot’s vision system. The algorithm is based on a method for determining the orientation of an object from its two-dimensional projections. To overcome the reduced information of the silhouettes compared with that of two-dimensional projections, a self-consistency check is introduced. Numerical implementations of the algorithm confirm that it can generate usefully accurate estimates of the orientations and the shapes of technologically nontrivial objects.

© 1992 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Silhouette estimation

Richard G. Paxman, David A. Carrara, Paul D. Walker, and Nicolas Davidenko
J. Opt. Soc. Am. A 31(7) 1636-1644 (2014)

Camera self-calibration from projection silhouettes of an object in double planar mirrors

Yue Zhao and Yuanzhen Li
J. Opt. Soc. Am. A 34(5) 696-707 (2017)

Three-dimensional modeling using x-ray shape-from-silhouette

Emanuele Simioni, Filippo Ratti, Irene Calliari, and Luca Poletto
Appl. Opt. 50(19) 3282-3288 (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 (11)

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

Equations (9)

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