Conference Paper

Surface completion by minimizing energy based on similarity of shape

Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma
DOI: 10.1109/ICIP.2008.4712059 In proceeding of: Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Source: IEEE Xplore

ABSTRACT 3D mesh models generated with range scanner or video images often have holes due to many occlusions by other objects and the object itself. This paper proposes a novel method to fill the missing parts in the incomplete models. The missing parts are filled by minimizing the energy function, which is defined based on similarity of local shape between the missing region and the rest of the object. The proposed method can generate complex and consistent shapes in the missing region. In the experiment, the effectiveness of the method is successfully demonstrated by applying it to complex shape objects with missing parts.

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    ABSTRACT: Two denoising techniques using reflectivity for noisy range images are proposed: range image smoothing by trilateral filter and range image inpainting by belief propagation. The trilateral filter makes use of reflectivity as well as spatial and intensity information so that geometric features, such as jump and roof edges, are preserved while smoothing. The range image inpainting technique based on belief propagation recovers a deteriorated range image using not only the adjacent range values but also the continuity of the reflectance image. We conduct simulations and experiments using synthesized images and actual range images taken by a laser scanner and verify that the proposed techniques suppress noise while preserving jump and roof edges and repair deteriorated range images.
    2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2011, San Francisco, CA, USA, September 25-30, 2011; 01/2011

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