@inproceedings{74a8b43d3c054d2da5d9b227b963549b,
title = "Low-complexity and low-delay structure from motion approach for advanced driver assist systems",
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.",
keywords = "ADAS, Depth estimation, Feature detector, SfM",
author = "J. Andrade and C. Prakash and F. Akhbari and L. Karam",
note = "Publisher Copyright: {\textcopyright} International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015.All right reserved.; 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015 ; Conference date: 27-07-2015 Through 30-07-2015",
year = "2015",
language = "Ingl{\'e}s",
series = "Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015",
publisher = "CSREA Press",
pages = "191--197",
editor = "Arabnia, \{Hamid R.\} and Leonidas Deligiannidis and Tinetti, \{Fernando G.\} and George Jandieri and Gerald Schaefer and Solo, \{Ashu M. G.\}",
booktitle = "Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015",
}