Abstract
Image stitching is an image processing method, where multiple photographs covering different parts of the same scene, are combined to form a single wide-angle image. Stitching is a very challenging task, and during the past decades many algorithms have been developed for it. Unfortunately, there has been no objective way to measure the quality of stitching results. To mend this shortcoming, we propose a novel method for testing stitching algorithms. The testing process starts from an arbitrary reference image that is used to create synthetic input data for the stitching algorithm that is to be tested. To make the testing realistic, various camera-related distortions along with perspective warps are applied to the input images. From this input data, the stitching algorithm creates a wide-angle image that is then compared to the reference image, from which the process started.
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Boutellier, J., Silvén, O., Tico, M., Korhonen, L. (2008). Objective Evaluation of Image Mosaics. In: Braz, J., Ranchordas, A., Araújo, H.J., Pereira, J.M. (eds) Computer Vision and Computer Graphics. Theory and Applications. VISIGRAPP 2007. Communications in Computer and Information Science, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89682-1_8
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DOI: https://doi.org/10.1007/978-3-540-89682-1_8
Publisher Name: Springer, Berlin, Heidelberg
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