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34th Applied Imagery and Pattern Recognition Workshop (AIPR'05)
Content-Based 3D Mosaic Representation for Video of Dynamic 3D Scenes
Washington, DC
October 19-October 21
ISBN: 0-7695-2479-6
Zhigang Zhu, The City College of New York
Hao Tang, The City College of New York
George Wolberg, The City College of New York
Jeffery R. Layne, Air Force Research Laboratory
We propose a content-based three-dimensional (3D) mosaic representation for long video sequences of 3D and dynamic scenes captured by a camera on a mobile platform. The motion of the camera has a dominant direction of motion (as on an airplane or ground vehicle), but 6 degrees-of-freedom (DOF) motion is allowed. In the first step, a pair of generalized parallelperspective (pushbroom) stereo mosaics is generated that captured both the 3D and dynamic aspects of the scene under the camera coverage. In the second step, a segmentation-based stereo matching algorithm is applied to extract parametric representation of the color, structure and motion of the dynamic and/or 3D objects in urban scenes where a lot of planar surfaces exist. Based on these results, the content-based 3D mosaic (CB3M) representation is created, which is a highly compressed visual representation for very long video sequences of dynamic 3D scenes. Experimental results will be given.
Index Terms:
Image fusion, multi-image registration, video surveillance, content-based video coding
Citation:
Zhigang Zhu, Hao Tang, George Wolberg, Jeffery R. Layne, "Content-Based 3D Mosaic Representation for Video of Dynamic 3D Scenes," aipr, pp.198-203, 34th Applied Imagery and Pattern Recognition Workshop (AIPR'05), 2005
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