Three-dimensional shape recovery by octree voting technique

Shinjiro Kawato

doi:10.1117/12.141385

24 February 1993 Three-dimensional shape recovery by octree voting technique

Shinjiro Kawato

Proceedings Volume 1820, Videometrics; (1993) https://doi.org/10.1117/12.141385
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

The objective of this work is to develop a technique for 3D shape information recovery from multiple 2D images. Stereopsis is one of the most popular techniques for recovering 3D information. But it has an inherent and difficult problem with stereo matching, especially when the epipolar line is not parallel to the raster line. In this paper, we propose a new technique to avoid this problem by projecting back the feature points in images to the 3D space and by voting (just like for the Hough transform) with a well-contrived voting and evaluation rule. The octree representation of the object is adopted to enable multi resolutional analysis and to increase calculation efficiency. Experimental results are also described.

Citation Download Citation

Shinjiro Kawato "Three-dimensional shape recovery by octree voting technique", Proc. SPIE 1820, Videometrics, (24 February 1993); https://doi.org/10.1117/12.141385

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available