Automatic Generation of Photo-Realistic Mosaic Image

Authors:
Jong-Seung Park;Duk-Ho Chang;Sang-Gyu Park
Affiliations:
-;-;-
Venue:
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Year:
2000

Citing 7
Cited 0

Euclidean structure from uncalibrated images

BMVC 94 Proceedings of the conference on British machine vision (vol. 2)
Theory and Practice of Projective Rectification

International Journal of Computer Vision
Mosaic Image Generation on a Flattened Gaussian Sphere

WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
VideoBrushTM: Experiences with Consumer Video Mosaicing

WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Parameters

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Video Mosaics for Virtual Environments

IEEE Computer Graphics and Applications
Fast Generation of Dynamic and Multi-Resolution 360-Degree Panorama from Video Sequences

ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a method that generates a mosaic image from multiple images or a sequence of images without any assumptions on camera intrinsic parameters or camera motion. The most appropriate transform model is automatically selected according to the global alignment error. Given a set of images, the optimal parameters for a 2D projective transform model are computed using a linear least squares estimation method and then iterative nonlinear optimization method. When the error exceeds a predefined limit, a more simple transform model is applied to the alignment. Our experiments showed that false alignments are reduced even in the case of 360° panoramic images.