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3-D modeling of an outdoor scene by multi-baseline stereo using a long sequence of images

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4 Author(s)
T. Sato ; Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan ; M. Kanbara ; N. Yokoya ; H. Takemura

Three-dimensional (3-D) models of outdoor scenes are widely used for object recognition, navigation, mixed reality, and so on. Because such models are often made manually with high costs, automatic 3-D modeling has been investigated. A 3-D model is usually generated by using a stereo method. However such approaches cannot use several hundreds images together for dense depth estimation because it is difficult to accurately calibrate a large number of cameras. In this paper we propose a 3-D modeling method that first estimates extrinsic camera. parameters of a monocular image sequence captured by a moving video camera, and then reconstructs a 3-D model of a scene. We can acquire a 3-D model of an outdoor scene accurately by using several hundreds input images.

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Pattern Recognition, 2002. Proceedings. 16th International Conference on  (Volume:3 )

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