An efficient method to build panoramic image mosaics

Authors:
Dae-Hyun Kim;Yong-In Yoon;Jong-Soo Choi
Affiliations:
Department of Image Engineering, Graduate School of AIM, Chung-Ang University, 221 Huksuk-Dong, Dongjak-Ku, Seoul 156-756, South Korea;Department of Image Engineering, Graduate School of AIM, Chung-Ang University, 221 Huksuk-Dong, Dongjak-Ku, Seoul 156-756, South Korea;Department of Image Engineering, Graduate School of AIM, Chung-Ang University, 221 Huksuk-Dong, Dongjak-Ku, Seoul 156-756, South Korea
Venue:
Pattern Recognition Letters
Year:
2003

Citing 8
Cited 3

A survey of image registration techniques

ACM Computing Surveys (CSUR)
Creating full view panoramic image mosaics and environment maps

Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Using geometric corners to build a 2D mosaic from a set of image

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Mosaic based representations of video sequences and their applications

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Construction and Refinement of Panoramic Mosaics with Global and Local Alignment

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

IEEE Computer Graphics and Applications
An FFT-based technique for translation, rotation, and scale-invariant image registration

IEEE Transactions on Image Processing
An adaptively refined block matching algorithm for motion compensated video coding

IEEE Transactions on Circuits and Systems for Video Technology

Polygon-based texture mapping for cyber city 3D building models

International Journal of Geographical Information Science
Compression and distribution of panoramic videos utilising MPEG-7-based image registration

Multimedia Tools and Applications
Image registration for foveated panoramic sensing

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)

Quantified Score

Hi-index	0.10

Visualization

Abstract

This paper describes an efficient method to build panoramic image mosaics with multiple images. Conventional algorithms used geometrical feature points and optimization to compute the projective transformation, which is the relation between two consecutive images. However, building a panoramic image was very time consuming because of the iterative computation involved.The proposed method computed the projective transformation in overlapped areas of the two given images by using four seed points. The seed point is the highly textured point in the overlapped area of the reference image, which is extracted by using phase correlation. Because the region of interest (ROI) was restricted within overlapped areas of two images, more accurate correspondences were obtained. Before selecting the seed point, the histograms of the overlapped areas were equalized to mitigate the variation of the illumination conditions. After selecting the seed point, the weighted block matching algorithm (BMA) was used to minimize image distortion caused by camera rotation. An experiment was performed employing the proposed method with various images and the results were compared with peak signal to noise ratio (PSNR). Results showed that the proposed method built high-quality panoramic image mosaics in high speed.