Video reframing relying on panoramic estimation based on a 3D representation of the scene

Agnes de Simon; Jean Figue; Henri Nicolas

doi:10.1117/12.386570

30 May 2000 Video reframing relying on panoramic estimation based on a 3D representation of the scene

Agnes de Simon, Jean Figue, Henri Nicolas

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386570
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

This paper describes a new method for creating mosaic images from an original video and for computing a new sequence modifying some camera parameters like image size, scale factor, view angle... A mosaic image is a representation of the full scene observed by a moving camera during its displacement. It provides a wide angle of view of the scene from a sequence of images shot with a narrow angle of view camera. This paper proposes a method to create a virtual sequence from a calibrated original video and a rough 3D model of the scene. A 3D relationship between original and virtual images gives pixel correspondent in different images for a same 3D point in model scene. To texture the model with natural textures obtained in the original sequence, a criterion based on constraints related to the temporal variations of the background and 3D geometric considerations is used. Finally, in the presented method, the textured 3D model is used to recompute a new sequence of image with possibly different point of view and camera aperture angle. The algorithm is being proven with virtual sequences and, obtained results are encouraging up to now.

Citation Download Citation

Agnes de Simon, Jean Figue, and Henri Nicolas "Video reframing relying on panoramic estimation based on a 3D representation of the scene", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386570

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