“Depth from Focus for 3D Reconstruction by Iteratively Building Uniformly Focused Image Set” by Salokhiddinov and Lee

  • ©Sherzod Salokhiddinov and Seungkyu Lee

  • ©Sherzod Salokhiddinov and Seungkyu Lee

  • ©Sherzod Salokhiddinov and Seungkyu Lee

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Entry Number: 60

Title:

    Depth from Focus for 3D Reconstruction by Iteratively Building Uniformly Focused Image Set

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Abstract:


    Depth estimation from a differently focused set of images has been a practical approach for 3D reconstruction with existing color cameras. In this paper, we propose a depth from focus (DFF) method for accurate depth estimation using single commodity color camera. We investigate the appearance changes in spatial and frequency domain along the focused image frames in iterative manner. In order to achieve sub-frame level accuracy in depth estimation, optimal location of in-focus frame is estimated by fitting a parameterized polynomial curve on the dissimilarity measurements of each pixel. Quantitative and qualitative evaluations on various test image sets show promising performance of the proposed method in depth estimation.

References:


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    • Michael Moeller, Martin Benning, Carola Schonlieb, and Daniel Cremers. 2015. Varia- ¨ tional depth from focus reconstruction. IEEE Transactions on Image Processing 24, 12 (2015), 5369–5378. 
    • Supasorn Suwajanakorn, Carlos Hernandez, and Steven M Seitz. 2015. Depth from focus with your mobile phone. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 3497–3506.

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