Exploring in partial views: Prediction of 3D shapes from partial scans

Zoltan Rozsa, T. Szirányi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recognition of shapes in the three dimensions is a challenging task when point clouds are at the input. Recognition from partial pieces is another challenging task in general. Recognizing objects from partial 3D data is a strong need in industrial automation, autonomous driving, cooperative robot systems including machine-machine and machine-human interactions and in surveillance. This papers investigates the needs and requirements of a system detecting partial point clouds of possible objects, and it proposes a new solution, including local scale estimation, key-point detection and local structure definition for building a 3D recognition or prediction framework.

Original languageEnglish
Title of host publication12th IEEE International Conference on Control and Automation, ICCA 2016
PublisherIEEE Computer Society
Pages707-713
Number of pages7
Volume2016-July
ISBN (Electronic)9781509017386
DOIs
Publication statusPublished - Jul 5 2016
Event12th IEEE International Conference on Control and Automation, ICCA 2016 - Kathmandu, Nepal
Duration: Jun 1 2016Jun 3 2016

Other

Other12th IEEE International Conference on Control and Automation, ICCA 2016
CountryNepal
CityKathmandu
Period6/1/166/3/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Rozsa, Z., & Szirányi, T. (2016). Exploring in partial views: Prediction of 3D shapes from partial scans. In 12th IEEE International Conference on Control and Automation, ICCA 2016 (Vol. 2016-July, pp. 707-713). [7505362] IEEE Computer Society. https://doi.org/10.1109/ICCA.2016.7505362