Photogrammetric analysis of image invariance

Hazem F. Barakat; Peter Doucette; Edward M. Mikhail

doi:10.1117/12.182850

17 August 1994 Photogrammetric analysis of image invariance

Hazem F. Barakat, Peter Doucette, Edward M. Mikhail

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182850
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

Basic invariance theory for frame photography has existed in the photogrammetric literature for over a century. It has been recently rediscovered and significantly extended by researchers in computer vision (CV) and image understanding (IU). It is applied to problems involved in image transfer and object recognition and reconstruction, among others. Research is in progress at our Photogrammetric Analysis Laboratory, to analyze various image invariance techniques, for both 2D and 3D objects, particularly with regard to their accuracy and reliability. Existing well established photogrammetric techniques, as well as modifications thereto, are evaluated as both equivalent and complementary methods to invariance. Relationships are investigated between the imaging parameters and the variables involved in invariance, which usually combine such parameters together. Rigorous unified least squares is used in cases of redundancy and constraints. Results show significant improvement in accuracy and robustness as compared to direct linear techniques generally used in the CV/IU literature.

Citation Download Citation

Hazem F. Barakat, Peter Doucette, and Edward M. Mikhail "Photogrammetric analysis of image invariance", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182850

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