Pictorial space correspondence in photographs of an object in different poses

Andrea J. van Doorn; Jan J. Koenderink; Huib de Ridder

doi:10.1117/12.429503

8 June 2001 Pictorial space correspondence in photographs of an object in different poses

Andrea J. van Doorn, Jan J. Koenderink, Huib de Ridder

Proceedings Volume 4299, Human Vision and Electronic Imaging VI; (2001) https://doi.org/10.1117/12.429503
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Observers routinely perceive 3D pictorial spaces when looking at 2D photographs. If an object is photographed in different poses, the photographs are different and so are the pictorial spaces. Observers can easily identify corresponding points in photographs of a single object in different poses. This is perhaps surprising, since no algorithm can presently do this except when extreme constraints are met. In this study we find correspondences and subsequently probe the pictorial surface attitude at corresponding points. Since we can fit a surface at a dens field of surface attitude samples, we obtain two surfaces in pictorial space that correspond to the two poses of the object. We explore the relation between these two surfaces. In Euclidean space the surfaces of an object in different poses are related through an isometry. Since pictorial space has a non-Euclidian structure the empirical correspondence is not an isometry though. The results allow us to draw conclusions concerning the geometrical structure of pictorial space. The results are of practical importance because many scenes are routinely documented through a sequence of photographs taken from different vantage points.

Citation Download Citation

Andrea J. van Doorn, Jan J. Koenderink, and Huib de Ridder "Pictorial space correspondence in photographs of an object in different poses", Proc. SPIE 4299, Human Vision and Electronic Imaging VI, (8 June 2001); https://doi.org/10.1117/12.429503

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