Computing the uncertainty of transformations in digital images

Kristof Teelen; Peter Veelaert

doi:10.1117/12.587762

17 January 2005 Computing the uncertainty of transformations in digital images

Kristof Teelen, Peter Veelaert

Proceedings Volume 5675, Vision Geometry XIII; (2005) https://doi.org/10.1117/12.587762
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

In this work we present the use and properties of a transformation uncertainty polytope for a frequently encountered problem in computer vision: registration in visual inspection. For each feature point in the reference image, a corresponding feature point must be distinguished in the test image among many candidates. A convex polytope is used to captivate the uncertainty of the transformation from the reference feature points to uncertainty regions in the test image in which the candidate matches are to be found. By checking the consistency of the uncertainty transformation for pairs of possible matches, we construct a consistency graph. The consistency graph gives us the necessary information to distinguish the good matches from the rest. Based on the best matches, we compute the registration transformation.

Citation Download Citation

Kristof Teelen and Peter Veelaert "Computing the uncertainty of transformations in digital images", Proc. SPIE 5675, Vision Geometry XIII, (17 January 2005); https://doi.org/10.1117/12.587762

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