Image mosaicing using sequential bundle adjustment |
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| Affiliation: | 1. Department of Civil and Environmental Engineering, University of Houston, Houston, TX, USA;2. Sonny Astani Department of Civil and Environmental Engineering, University of Southern California, 3620 S. Vermont Avenue, KAP 210, Los Angeles, CA 90089-2531, USA;1. International Islamic University, Islamabad, Pakistan;2. Tampere University of Technology, Tampere, Finland;1. Agence Nationale de recherche sur le VIH et hépatite, Institut Pasteur, Phnom Penh, Cambodia;2. Department of Primary Health Care, University of Oxford, Oxford, UK;3. University of Lausanne, Lausanne, Switzerland;4. Génétique Moléculaire, Pharmacogénétique et Hormonologie CHU Bicêtre, Kremlin Bicêtre, Paris, France;1. School of Computer Science, China University of Geosciences, Wuhan 430074, China;2. Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan 430074, China;3. National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan 430072, China |
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| Abstract: | We describe the construction of accurate panoramic mosaics from multiple images taken with a rotating camera, or alternatively of a planar scene. The novelty of the approach lies in (i) the transfer of photogrammetric bundle adjustment techniques to mosaicing; (ii) a new representation of image line measurements enabling the use of lines in camera self-calibration, including computation of the radial and other non-linear distortion; and (iii) the application of the variable state dimension filter to obtain efficient sequential updates of the mosaic as each image is added.We demonstrate that our method achieves better results than the alternative approach of optimising over pairs of images. |
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