Paper
20 September 2001 Image panoramic mosaicing with global and local registration
Qi Li, Zhen Ji, Jihong Zhang
Author Affiliations +
Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441528
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
This paper presents techniques for constructing full view panoramic mosaics from sequences of images. The goal of this work is to remove too many limitations for pure panning motion. The best reference block is critical for the block- matching method for improving the robustness and performance. It is automatically selected in the high- frequency image, which always contains the plenty visible features. In order to reduce accumulated registration errors, the global registration using the phase-correlation matching method with rotation adjustment is applied to the whole sequence of images, which results in an optimal image mosaic with resolving translational or rotational motion. The local registration using the Levenberg-Marquardt iterative non-linear minimization algorithm is applied to compensate for small amounts of motion parallax introduced by translations of the camera and other unmodeled distortions, when minimize the discrepancy after applying the global registration. The accumulated misregistration errors may cause a visible gap between the two images. A smoothing filter is introduced, derived from Marr's computer vision theory for removing the visible artifact. By combining both global and local registration, together with artifact smoothing, the quality of the image mosaics is significantly improved, thereby enabling the creation of full view panoramic mosaics with hand-held cameras.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qi Li, Zhen Ji, and Jihong Zhang "Image panoramic mosaicing with global and local registration", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441528
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KEYWORDS
Image registration

Panoramic photography

Cameras

Image quality

Computer vision technology

Machine vision

Image restoration

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