@inproceedings{42c55ae5c4b745fdaf3a5eecb0209060,
title = "Sparse depth calculation using real-time key-point: Detection and structure from motion for advanced driver assist systems",
abstract = "This paper presents a system for calculating depth using a single camera with a focus on advanced driver assist systems. The proposed system consists of an improved structure from motion (SfM) approach. First, a novel multi-scale fast feature point detector (MFFPD) is proposed for detecting keypoints in the image in real-time with high accuracy. Secondly, a method is presented for sparse depth calculation at the detected key-points locations using multi-view 3D modeling. The proposed SfM system is capable of processing multiple video frames from a single planar or fisheye camera setup and is resilient to camera calibration parameter drifts. The algorithm pipeline is implemented using OpenCV/C++. Results are presented for sets of images that contain temporal motion and sets that contain lateral motion corresponding, respectively, to views from the front and side video cameras of a car.",
author = "Prakash, {Charan D.} and Jinjin Li and Farshad Akhbari and Lina Karam",
year = "2014",
doi = "10.1007/978-3-319-14249-4_71",
language = "English (US)",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "740--751",
editor = "George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ryan McMahan and Jason Jerald and Hui Zhang and Drucker, {Steven M.} and Kambhamettu Chandra and Maha, {El Choubassi} and Zhigang Deng and Mark Carlson",
booktitle = "Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings",
note = "10th International Symposium on Visual Computing, ISVC 2014 ; Conference date: 08-12-2014 Through 10-12-2014",
}