Assessing the computational effort for structural 3D vehicle recognition

Eckart Michaelsen, Uwe Stilla

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A model based structural recognition approach is used for 3D detection and localization of vehicles. It is theoretically founded by syntactic pattern recognition using coordinate grammars and depicted by production nets. The computational effort significantly depends on certain tolerance parameters and the distribution of input data in the attribute domain. A brief theoretical survey of these interrelations is accompanied by comparing the performance on synthetic random data to the performance on data from different natural environments.

Original languageEnglish
Title of host publicationAdvances in Pattern Recognition - Joint IAPR International Workshops, SSPR 2000 and SPR 2000, Proceedings
EditorsFrancesc J. Ferri, Jose M. Inesta, Adnan Amin, Pavel Pudil
PublisherSpringer Verlag
Pages357-366
Number of pages10
ISBN (Print)3540679464, 9783540679462
DOIs
StatePublished - 2000
Externally publishedYes
Event8th Meeting of the International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2000 and 3rd International Workshop on Statistical Techniques in Pattern Recognition, SPR 2000 - Alicante, Spain
Duration: 30 Aug 20001 Sep 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1876 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Meeting of the International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2000 and 3rd International Workshop on Statistical Techniques in Pattern Recognition, SPR 2000
Country/TerritorySpain
CityAlicante
Period30/08/001/09/00

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