Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 339-344, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/339/2012/
doi:10.5194/isprsarchives-XXXIX-B3-339-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
31 Jul 2012
PLANE MATCHING WITH OBJECT-SPACE SEARCHING USING INDEPENDENTLY RECTIFIED IMAGES
H. Takeda, Y. Akamatsu, and Y. Minami KOKUSAI KOGYO CO.,LTD, R&D Division, 2-24-1 Harumi-cho, Fuchu-shi, Tokyo 183-0057, Japan
Keywords: 3D city model, multi-image matching, rectification, object-space searching, building wall, multi-view images Abstract. In recent years, the social situation in cities has changed significantly such as redevelopment due to the massive earthquake and large-scale urban development. For example, numerical simulations can be used to study this phenomenon. Such simulations require the construction of high-definition three-dimensional city models that accurately reflect the real world. Progress in sensor technology allows us to easily obtain multi-view images. However, the existing multi-image matching techniques are inadequate. In this paper, we propose a new technique for multi-image matching. Since the existing method of feature searching is complicated, we have developed a rectification method that can be processed independently for each image does not depend on the stereo-pair. The object-space searching method that produces mismatches due to the occlusion or distortion of wall textures on images is the focus of our study. Our proposed technique can also match the building wall surface. The proposed technique has several advantages, and its usefulness is clarified through an experiment using actual images.
Conference paper (PDF, 1489 KB)


Citation: Takeda, H., Akamatsu, Y., and Minami, Y.: PLANE MATCHING WITH OBJECT-SPACE SEARCHING USING INDEPENDENTLY RECTIFIED IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 339-344, doi:10.5194/isprsarchives-XXXIX-B3-339-2012, 2012.

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