Low-complexity and low-delay structure from motion approach for advanced driver assist systems

J. Andrade, C. Prakash, F. Akhbari, L. Karam

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

Abstract

Structure from Motion (SfM) is a fundamental capability in Advanced Driver Assist Systems (ADAS) which require accuracy and performance. This paper presents an improved solution to depth estimation based on a low-complexity and low-delay (LOCAD) 3D SfM approach that requires as few as two images from a calibrated camera and that makes use of a new Multi-scale Fast Feature Point Detector (MFFPD). Results are presented to illustrate the improved performance of the proposed method as compared to existing depth estimation methods.

Original languageEnglish (US)
Title of host publicationProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
PublisherCSREA Press
Pages191-197
Number of pages7
ISBN (Electronic)1601324049, 9781601324047
StatePublished - Jan 1 2015
Event2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015 - Las Vegas, United States
Duration: Jul 27 2015Jul 30 2015

Publication series

NameProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015

Conference

Conference2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015
CountryUnited States
CityLas Vegas
Period7/27/157/30/15

Keywords

  • ADAS
  • Depth estimation
  • Feature detector
  • SfM

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Andrade, J., Prakash, C., Akhbari, F., & Karam, L. (2015). Low-complexity and low-delay structure from motion approach for advanced driver assist systems. In H. R. Arabnia, L. Deligiannidis, F. G. Tinetti, G. Jandieri, G. Schaefer, & A. M. G. Solo (Eds.), Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015 (pp. 191-197). (Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015). CSREA Press.