An Iterative Approach for 3-D Model Generation Using Disparity Maps

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  • 視差マップを用いた3Dモデルの反復生成アプローチ(画像符号化,通信・ストリーム技術,一般)

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Abstract

In this research, we address the problem of 3-D model generation from disparity maps. Given an inaccurate 3-D model, dense multiview images are generated. Disparity maps between each pair are estimated using stereo matching algorithm. The disparity maps are projected into space as depth candidates. The kernel classifier is applied to the depth candidates for each layer of candidates from ground, and the candidates with higher probability values are selected for further fine-tuning process. In fine-tuning step, the best location of the border of the objects in each layer from ground is determined using dynamic programming. Finally the 3-D model is generated. Using the generated 3-D model, we regenerate the dense multiview images and disparity maps. We perform the same process for several iterations until the changes in the generated 3-D model are small. Experimental result shows we can eventually enhance the quality of the 3-D model within a few iterations in comparison with the starting 3-D model.

Journal

  • ITE Technical Report

    ITE Technical Report 32.56 (0), 7-10, 2008

    The Institute of Image Information and Television Engineers

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