Accurate and robust stereovision with a large number of aerial images

D. Canu; Nicholas Ayache; J. A. Sirat

doi:10.1117/12.226829

17 November 1995 Accurate and robust stereovision with a large number of aerial images

D. Canu, Nicholas Ayache, J. A. Sirat

Proceedings Volume 2579, Image and Signal Processing for Remote Sensing II; (1995) https://doi.org/10.1117/12.226829
Event: Satellite Remote Sensing II, 1995, Paris, France

Abstract

Automatic computation of 3D reconstruction of scenes is traditionally based on the use of the normalized cross-correlation technique to match stereoscopic images. This matching technique called area-based matching technique allows to retrieve which pixels on images are the projection of the same 3D point of the analyzed scene. In the case of high resolution stereoscopic images which include a ground resolution up to a few decimeters, the matching problem is more difficult because of the presence shadow areas, hidden parts, important discontinuities in the 3D structures and textureless or repetitive-texture regions. These characteristics of high resolution stereoscopic images appear as real obstacles to the area-based matching technique with binocular stereovision approach. In this paper, we present a novel method to compare a dense scene 3D reconstruction from a large number of aerial images. It achieves robust and accurate reconstruction and deals with local occlusions and surface discontinuities. The principle of the algorithm is based on the simultaneous matching of images with a cross-correlation technique. The location of each cameras is unconstrained and a calibration stage is used to retrieve the epipolar geometry. We finally show the feasibility of this approach to produce robust and accurate matchings on results achieved with synthetic and real images.

Citation Download Citation

D. Canu, Nicholas Ayache, and J. A. Sirat "Accurate and robust stereovision with a large number of aerial images", Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995); https://doi.org/10.1117/12.226829

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available