Efficient finder patterns and methods for application to 2D machine vision problems
First Claim
1. A finder pattern for detection and location of at least one target feature in a target object, comprising:
- at least two triads arranged in predetermined locations in the target object, wherein each triad includes a first blob, a second blob, and a third blob, wherein each blob has substantially the same area and is positioned in a predetermined location in the target object, wherein the locations of the first and second blobs are substantially equidistant from the third blob, and wherein the locations of the first, second, and third blobs are not collinear.
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Abstract
The invention relates to a finder pattern for detection and location of at least one target feature in a target object. The finder pattern includes at least two triads arranged in predetermined locations in the target object, wherein each triad includes a first blob, a second blob, and a third blob, wherein each blob has substantially the same area and is positioned in a predetermined location in the target object. The locations of the first and second blobs are substantially equidistant from the third blob, and the locations of the first, second, and third blobs are not collinear. The invention further relates to a method for detecting a finder pattern in a target object, and a computer readable medium having instructions stored therein for detecting a finder pattern in a target object, which, when executed by a processor of a computing device, cause the computing device to carry out the steps of the method.
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Citations
32 Claims
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1. A finder pattern for detection and location of at least one target feature in a target object, comprising:
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at least two triads arranged in predetermined locations in the target object, wherein each triad includes a first blob, a second blob, and a third blob, wherein each blob has substantially the same area and is positioned in a predetermined location in the target object, wherein the locations of the first and second blobs are substantially equidistant from the third blob, and wherein the locations of the first, second, and third blobs are not collinear. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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- 11. A finder pattern for detection and location of target features in a target object, comprising at least two triads arranged in predetermined locations in the target object, wherein the triads are linked with a linking vector.
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15. A method for detecting a finder pattern in a target object, the method comprising the steps of:
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processing an image of a target object;
identifying six or more blobs in the image;
identifying two or more potential triads in the image using the six or more identified blobs;
determining information about one or more characteristics of the two or more potential triads; and
determining whether the information about the characteristics of two or more of the potential triads corresponds to information about one or more characteristics of two or more target triads in a finder pattern specification, wherein the finder pattern specification includes information about the characteristics of the two or more target triads. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23)
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24. A computer readable medium having instructions stored therein for detecting a finder pattern in a target object, which, when executed by a processor of a computing device, cause the computing device to carry out the steps of:
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processing an image of a target object;
identifying six or more blobs in the image;
identifying two or more potential triads in the image using the six or more identified blobs;
determining information about one or more characteristics of the two or more potential triads; and
determining whether the information about the characteristics of two or more of the potential triads corresponds to information about one or more characteristics of two or more target triads in a finder pattern specification, wherein the finder pattern specification includes information about the characteristics of the two or more target triads. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32)
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Specification