Articles via Databases
Articles via Journals
Online Catalog
E-books
Research & Information Literacy
Interlibrary loan
Theses & Dissertations
Collections
Policies
Services
About / Contact Us
Administration
Littman Architecture Library
This site will be removed in January 2019, please change your bookmarks.
This page will redirect to https://digitalcommons.njit.edu/theses/477 in 5 seconds

The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: Stereo vision algorithm using propagation of correspondences along an array of cameras
Author: Ganjali, Danyan
View Online: njit-etd2005-049
(xi, 78 pages ~ 7.8 MB pdf)
Department: Department of Electrical and Computer Engineering
Degree: Master of Science
Program: Electrical Engineering
Document Type: Thesis
Advisory Committee: Reisman, Stanley S. (Committee chair)
Shi, Yun Q. (Committee member)
Foulds, Richard A. (Committee member)
Date: 2005-05
Keywords: Stereo vision
Precision-accuracy trade-off
Availability: Unrestricted
Abstract:

One well known problem in stereo vision is the trade-off between precision and accuracy.

In a conventional two camera model, as the baseline separating the two cameras becomes smaller, the images that both cameras produce become more identical. This results in a more accurate set of correspondences, however at the same time causing less precise depth measurement due to the small angle used for triangulation. Similarly, in a larger baseline model, the depth measurement is more precise while the correspondences are not as accurate as of the shorter baseline model. This thesis proposes a method that promises to solve the precision-accuracy trade-off problem. It employs an array of cameras, where each adjacent pair of cameras has a small baseline while the entire baseline of the array is relatively large. In such a system, the accuracy of a short baseline model is enjoyed, and at the same time, the produced results have the precision matched to a longer baseline model.

The proposed method in this thesis finds accurate corresponding points in the first camera pair, and then propagates this set of points along the array, searching for the same correspondences in each adjacent camera. The final result is a reliable set of correspondences between the cameras positioned at both ends of the array. The image coordinates of these points are then used to find the disparity map, followed by a triangulation algorithm for a precise depth calculation.


If you have any questions please contact the ETD Team, libetd@njit.edu.

 
ETD Information
Digital Commons @ NJIT
Theses and DIssertations
ETD Policies & Procedures
ETD FAQ's
ETD home

Request a Scan
NDLTD

NJIT's ETD project was given an ACRL/NJ Technology Innovation Honorable Mention Award in spring 2003