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- W2579593504 abstract "This article introduces a minimal-cost fully automatic method to generate 3D object models with unlimited resolution from a single aligned image for arbitrary revolution objects. In this method, the scope is focused on objects with complex (non-lambertian) materials that have intricate free-form revolution surfaces. The method is solely based on a single 2D image extracting two cues: The object's external contour is robustly and precisely extracted by sub-pixel graph expansion followed by piecewise radial regression producing a continuous regularized function called ∞-resolution contour. The object's internal skeleton is efficiently approximated by pixel-wise MAT (medial-axis-transform). The MAT naturally exposes the object's rotational invariants. The integration of the ∞-resolution contour with the invariant rotation axis is done by a tensor product. When the resulting compact and implicit ∞-resolution 3D object model is tessellated at a given target resolution, the tensor product generates mesh vertices, normals and texture coordinates for realistic models. This method achieves unprecedented high quality 3D models with ultra-efficient serialization. These claims are supported by an extensive evaluation using data sets with ground-truth metrics for volume, area, file-size, and execution time." @default.
- W2579593504 created "2017-01-26" @default.
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- W2579593504 date "2016-12-01" @default.
- W2579593504 modified "2023-09-25" @default.
- W2579593504 title "Infinite-Resolution 3D Modeling from a Single Image for Free-Form Revolution Objects" @default.
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- W2579593504 doi "https://doi.org/10.1109/ism.2016.0057" @default.
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