Marker-based method for 3D object recognition and localization

Georgi G. Penev; Nikolay A. Kuznztsov; Kourosh Madani

doi:10.1117/12.488013

8 August 2003 Marker-based method for 3D object recognition and localization

Georgi G. Penev, Nikolay A. Kuznztsov, Kourosh Madani

Proceedings Volume 5108, Visual Information Processing XII; (2003) https://doi.org/10.1117/12.488013
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Three-dimensional (3-D) objects recognition and localization is of major importance in a wide range of applications. A number of implementations concerning the complex 3D object recognition and localization have been achieved using some heuristic approaches. However, theoretical considerations concerning the construction of invariant (or quasi invariant) relations between the types of ojbect (identifying those objects) and the position in 3D space of those objects is still a problem. That is why, a marker based method for recognition and localization of 3D objects from their 2D image is suggested in this paper. Theorems relative to the features and conditions of such markers are proposed and demonstrated. Examples are given and discussed.

Citation Download Citation

Georgi G. Penev, Nikolay A. Kuznztsov, and Kourosh Madani "Marker-based method for 3D object recognition and localization", Proc. SPIE 5108, Visual Information Processing XII, (8 August 2003); https://doi.org/10.1117/12.488013

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