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From an Uncalibrated Image Sequence of a Building to Virtual Reality Modeling Language (VRML)

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In this article we address the problem of the recovery of a realistic textured model of an image sequence without any prior knowledge either about the parameters of the cameras, or about their motion. Firstly, using various computer vision tools, we establish correspondences between the image pairs and estimate the fundamental matrix. Secondly, using epipolar geometry constraints, we can obtain the rectified image pairs by a novel rectification method, where the epipolar lines coincide with the image scan-line. Furthermore, we can make dense stereo matching original image pairs rapidly and simply. Thirdly, in self-calibration, the prior knowledge of orthogonal wall planes and the orthogonal and parallel lines are formulated as constraints on the absolute quadric. Finally, the 3D Euclidean model can be built through self-calibration, matching Delaunay triangulation. In producing a 2-D mesh for VRML, an algorithm for the depth adaptive mesh is proposed to give a more detailed description of the reconstructed 3-D surface of a building. A large number of experimental results show that this method increases the speed and accuracy of the reconstructed 3D model and the obtained 3D models are more realistic.
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Document Type: Research Article

Publication date: July 1, 2002

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

    IS&T's JIST-first publication option allows authors wishing to present their work at conferences, but have a journal citation for their paper, to submit a paper to JIST that follows the same rigorous peer-review vetting and publication process as traditional JIST articles, but with the benefit of a condensed time-to-publication time frame and guaranteed conference presentation slot.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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