Object classification using two-dimensional projection
First Claim
1. A method for classifying a potential compound object, comprising:
- generating a first fidelity score for a projection of the potential compound object, where the first fidelity score represents a likelihood that the potential compound object comprises a comparator characteristic of a known object;
if the first fidelity score meets a first threshold, generating a masked projection of the potential compound object by excluding portions of the projection of the potential compound object that comprise outliers to the comparator characteristic, comprising;
identifying a distance between an edge of the potential compound object in the projection and a central point of the comparator characteristic; and
masking out one or more portions of the potential compound object in the projection that meet a distance threshold for removal; and
generating a second fidelity score for the masked projection of the potential compound object using the comparator characteristic of the known object, at least some of the method implemented at least in part via a processing unit.
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Accused Products
Abstract
One or more systems and/or techniques are provided to identify objects comprised in a compound object without segmenting three-dimensional image data of the potential compound object. Two-dimensional projections of a potential compound object (e.g., Eigen projections) are examined to identify the presence of known objects. The projections are compared to signatures, such as morphological characteristics, of one or more known objects. If it is determined based upon the comparison that there is a high likelihood that the compound object comprises a known object, a portion of the projection is masked, and it is compared again to the signature to determine if this likelihood has increased. If it has, a sub-object of the compound object may be classified based upon characteristics of the known object (e.g., the compound object may be classified as a potential threat item if the known object is a threat item).
20 Citations
22 Claims
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1. A method for classifying a potential compound object, comprising:
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generating a first fidelity score for a projection of the potential compound object, where the first fidelity score represents a likelihood that the potential compound object comprises a comparator characteristic of a known object; if the first fidelity score meets a first threshold, generating a masked projection of the potential compound object by excluding portions of the projection of the potential compound object that comprise outliers to the comparator characteristic, comprising; identifying a distance between an edge of the potential compound object in the projection and a central point of the comparator characteristic; and masking out one or more portions of the potential compound object in the projection that meet a distance threshold for removal; and generating a second fidelity score for the masked projection of the potential compound object using the comparator characteristic of the known object, at least some of the method implemented at least in part via a processing unit. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for classifying a potential compound object, comprising:
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one or more processing units; and memory comprising instructions that when executed by at least one of the one or more processing units perform operations, comprising; generating a first fidelity score for a projection of the potential compound object that represents a likelihood that one or more portions of the potential compound object comprise a comparator characteristic of a known object, comprising; overlaying an image of a shape characteristic over an image of the potential compound object in the projection; and adjusting a size of the image of the shape characteristic so that the size of the image of the shape characteristic is to scale with the image of the potential compound object in the projection; generating a masked projection of the potential compound object by masking out one or more portions of the projection of the potential compound object that comprise outliers to the comparator characteristic, if the first fidelity score meets a first threshold, comprising; finding a central area of the image of the shape characteristic; dividing the adjusted image of the shape characteristic into sectors relative to the central area; and masking out a portion of the image of the potential compound object in the projection that lies in a sector comprising a distance threshold between the central area and an edge in the image of the potential compound object; and generating a second fidelity score for the masked projection of the potential compound object using the comparator characteristic of the known object. - View Dependent Claims (13, 14, 15, 16, 17, 18)
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19. A method for classifying a potential compound object identified in image data from a radiographic imaging apparatus, comprising:
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generating an Eigen edge map of an Eigen space representation of the potential compound object, where the Eigen edge map comprises merely a boundary representation of the potential compound object in Eigen space; comparing a signature of the Eigen edge map with a signature of a known object characteristic to generate a first likelihood score; if the first likelihood score meets a first threshold, removing portions of the Eigen edge map that meet a removal threshold based on the known object characteristic to generate a masked Eigen edge map, comprising; identifying a distance between an edge of the potential compound object in the Eigen edge map and a central point of the signature of the known object characteristic; and masking out one or more portions of the potential compound object in the Eigen edge map that meet a distance threshold for removal; and comparing a signature of the masked Eigen edge map with the signature of the known object characteristic to generate a second likelihood score. - View Dependent Claims (20, 21, 22)
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Specification