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- W1990237705 abstract "Three-dimensional object reconstruction is a basic problem in machine vision for object recognition and inspection. In this paper, we present an automatic procedure to construct 3-D objects by edge-based feature extraction. We intend to describe extracted objects in terms of simple geometry which corresponds to the description of the design model. In a method developed for edge detection with sub-pixel accuracy, the direction of the edge is attached to each edge point as a primitive for succeeding processes. The line segmentation method is applied to slip and merge edges into straight lines or regular curves in terms of the primitives. These lines can then be linked in terms of terminals by the constraints of distance and orientation to form surface patches. Using two or more CCD cameras, the 3-D surface of the object can be reconstructed by matching the same geometric properties in stereo images with the addition of the epipolar line technique." @default.
- W1990237705 created "2016-06-24" @default.
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- W1990237705 date "1994-08-17" @default.
- W1990237705 modified "2023-09-27" @default.
- W1990237705 title "<title>Feature-based approach to reconstruction of 3D objects from digital images</title>" @default.
- W1990237705 doi "https://doi.org/10.1117/12.182848" @default.
- W1990237705 hasPublicationYear "1994" @default.
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