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 Conference: Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Source: IEEE Xplore


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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    • "Note that although we assume that the range and reflectance images have the same resolution , the proposed method can be applied to images having various resolutions using the joint bilateral filter [13]. For the case in which there are several holes in range data due to the occlusion or specular or weak reflection, Kawai et al. [17] proposed a completion technique of the 3D surfaces. "
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    ABSTRACT: Surface completion is a technique for filling missing regions in 3D models measured by range scanners and videos. Conventionally, although missing regions were filled with the similar shape in a model, the completion process was fairly inefficient because the whole region in the model was searched for the similar shape. In this paper, the completion is efficiently performed using principal curvatures of local shape. In experiments, the effectiveness of the proposed method is successfully verified with subjective evaluation. In addition, the quantitative evaluation which has not been in the literature is newly performed.
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    ABSTRACT: In this paper, we propose a novel surface completion method to generate plausible shapes and textures for missing regions of 3D models. The missing regions are filled in by minimizing two energy functions for shape and texture, which are both based on similarities between the missing region and the rest of the object; in doing so, we take into account the positive correlation between shape and texture. We demonstrate the effectiveness of the proposed method experimentally by applying it to two models.
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