3D object recognition in TOF data sets

Holger Hess; Martin Albrecht; Markus Grothof; Stephan Hussmann; Nikolaos Oikonomidis; Rudolf Schwarte

doi:10.1117/12.486803

21 August 2003 3D object recognition in TOF data sets

Holger Hess, Martin Albrecht, Markus Grothof, Stephan Hussmann, Nikolaos Oikonomidis, Rudolf Schwarte

Proceedings Volume 5086, Laser Radar Technology and Applications VIII; (2003) https://doi.org/10.1117/12.486803
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

In the last years 3D-Vision systems based on the Time-Of-Flight (TOF) principle have gained more importance than Stereo Vision (SV). TOF offers a direct depth-data acquisition, whereas SV involves a great amount of computational power for a comparable 3D data set. Due to the enormous progress in TOF-techniques, nowadays 3D cameras can be manufactured and be used for many practical applications. Hence there is a great demand for new accurate algorithms for 3D object recognition and classification. This paper presents a new strategy and algorithm designed for a fast and solid object classification. A challenging example - accurate classification of a (half-) sphere - demonstrates the performance of the developed algorithm. Finally, the transition from a general model of the system to specific applications such as Intelligent Airbag Control and Robot Assistance in Surgery are introduced. The paper concludes with the current research results in the above mentioned fields.

Citation Download Citation

Holger Hess, Martin Albrecht, Markus Grothof, Stephan Hussmann, Nikolaos Oikonomidis, and Rudolf Schwarte "3D object recognition in TOF data sets", Proc. SPIE 5086, Laser Radar Technology and Applications VIII, (21 August 2003); https://doi.org/10.1117/12.486803

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