Feature-based approach to reconstruction of 3D objects from digital images

Yong Ru Huang; John Charles Trinder

doi:10.1117/12.182848

17 August 1994 Feature-based approach to reconstruction of 3D objects from digital images

Yong Ru Huang, John Charles Trinder

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182848
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

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.

Citation Download Citation

Yong Ru Huang and John Charles Trinder "Feature-based approach to reconstruction of 3D objects from digital images", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182848

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KEYWORDS

3D image processing

Image segmentation

Edge detection

3D image reconstruction

3D modeling

Cameras

Inspection

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