3D object understanding from 2D images

Patrick S. P. Wang

doi:10.1117/12.323587

25 September 1998 3D object understanding from 2D images

Patrick S. P. Wang

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323587
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

Abstract

This paper deals with 3D object understanding from 2D images, including articulated objects in active vision environment. Usually an articulated object is divided into two portions: main rigid portion and articulated portion. It is more complicated than `rigid' object in that the relative positions, shapes or angles between the main portion and the articulated portion have essentially infinite variations, in addition to the infinite variations of each individual rigid portions due to orientations, rotations and topological transformations. A new method generalized from linear combination is employed to investigate such problems. It uses very few learning samples, and can described, understand, and recognized 3D articulated objects while the objects status is being changed in an active vision environment.

Citation Download Citation

Patrick S. P. Wang "3D object understanding from 2D images", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323587

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