朝着基于对象的启发式发展

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Pub Date : 1992-06-15 DOI:10.1109/CVPR.1992.223250

A. Gross

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引用次数: 2

摘要

对以往的工作进行了综述和批判，并提出了两种基于对象的启发式方法。对象的结构化性质是非偶然对齐准则的动机;物体边界轮廓内的平行线与物体中心坐标系有关。许多人造物体固有的规律性和对称性是正交基约束的动机，图像中的一组斜坐标轴被假定为场景中一组正交三维坐标轴的投影。这些启发式算法在真实和合成图像轮廓上得到了验证。

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Towards object-based heuristics

A survey and critique of previous work is given, and two object-based heuristics are developed. The structured nature of objects is the motivation for the nonaccidental alignment criterion; parallel lines within the object's bounding contour are related to the object-centered coordinate system. The regularity and symmetry inherent in many man-made objects is the motivation for the orthogonal basis constraint, an oblique set of coordinate axes in the image is presumed to be the projection of an orthogonal set of 3D coordinate axes in the scene. These heuristics are demonstrated on real and synthetic image contours.<>

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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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