Importance

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Abstract

Machine vision methods for determining a characteristic (such as position, orientation, size, center of mass, and boundary) of an object in an image include finding points in the image on the boundary of the object; identifying bounding boxes, or regions, in the image that correspond to edges of the object; and labeling boundary points to denote which respective edges, if any, to which they belong based on (i) the locations and orientations of those points, and (ii) locations of the plural bounding boxes. Points apparently lying on a boundary of the object, but outside a bounding box, can be ignored--and, more particularly, are denoted as not corresponding to an edge. Likewise, apparent boundary points lying within a bounding box, but at an angle not associated with the corresponding to the respective edge of the object, can also be ignored. Characteristics of the imaged object are determined as a function of those boundary points found to correspond to an edge of the object (e.g., points lying within a bounding box, at the expected angle, and not too far from a line connecting similarly situated points). Characteristics of the object, such as position, orientation, size, center of mass, and boundary points, can be determined in the image reference frame.

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First Claim