Abstract
Inferring 3D information from video sequences for building scene models is a costly and time consuming task. However, newly developed technologies in video analysis and camera calibration allow us to acquire all the information required to infer the 3D structure of a scene from the recording of a video sequence of it using a domestic video camera held by a moving operator.
In this paper we present a method to recover the 3D rigid structure from a video sequence. We base the method in a given set of key 2D features tracked by the Kanade-Lucas-Tomasi algorithm, and validating them by checking that they can correspond to points of a rigid scene.
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© 2003 Springer-Verlag Berlin Heidelberg
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Jaureguizar, F., Ronda, J.I., Menéndez, J.M. (2003). Extraction of 3D Structure from Video Sequences. In: García, N., Salgado, L., Martínez, J.M. (eds) Visual Content Processing and Representation. VLBV 2003. Lecture Notes in Computer Science, vol 2849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39798-4_40
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DOI: https://doi.org/10.1007/978-3-540-39798-4_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20081-9
Online ISBN: 978-3-540-39798-4
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