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Proceedings Paper

Fast and robust image mosaicking for monocular video
Author(s): Huibao Lin; Jennie Si; Glen P. Abousleman
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Paper Abstract

Image mosaicking is the process of mapping an image series onto a common image grid, where the resulting mosaic forms a comprehensive view of the scene. This paper presents a near-real-time, automatic image mosaicking system that is designed to operate in real-world conditions. These conditions include arbitrary camera motion, disturbances from moving objects and annotations, and luminance variations. In the proposed algorithm, matching filters are used in conjunction with automatic corner detection to find several critical points within each image, which are then used to represent the image efficiently and accurately. Numerical techniques are used to distinguish between those points belonging to the actual scene and those resulting from a disturbance, and to determine the movement of the camera. The affine model is used to describe the frame-to-frame differences that result from camera motion. A local-adaptive fine-tuning step is used to correct the approximation error due to the use of the affine model, and to compensate for any luminance variation. The mosaic is constructed progressively as new images are being added. The proposed algorithm has been extensively tested on real-world, monocular video sequences, and it is shown to be very accurate and robust.

Paper Details

Date Published: 25 May 2005
PDF: 10 pages
Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); doi: 10.1117/12.604058
Show Author Affiliations
Huibao Lin, Arizona State Univ. (United States)
Jennie Si, Arizona State Univ. (United States)
Glen P. Abousleman, General Dynamics C4 Systems (United States)


Published in SPIE Proceedings Vol. 5809:
Signal Processing, Sensor Fusion, and Target Recognition XIV
Ivan Kadar, Editor(s)

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