Method of vehicle image comparison and system thereof
First Claim
1. A computerized method of vehicle image comparison, comprising:
- obtaining an input image acquired by an imaging device capturing at least part of a vehicle, the input image comprising a plurality of image portions;
retrieving a set of reference images;
for each given image portion of the plurality of image portions, searching for a best matching reference portion in the set of reference images, comprising;
i) obtaining a set of reference portion candidates corresponding to the set of reference images, comprising, for each given reference image within the set;
identifying a reference region in the given reference image according to location of the given image portion within the input image, the reference region having a size that is not smaller than the given image portion;
using a similarity model on the given image portion and the reference region to obtain a similarity map comprising one or more sections corresponding to one or more reference image portions with one or more respective locations within the reference region, each section in the similarity map indicating a similarity between the given image portion and a respective reference image portion; and
selecting, from the one or more reference image portions, a reference image portion with the best similarity as a reference portion candidate for the given reference image; and
ii) selecting the best matching reference portion from the set of reference portion candidates; and
comparing each given image portion with the best matching reference portion using a comparison model, giving rise to a difference map corresponding to the given image portion, the difference map indicating probability of presence of difference of interest (DOI) in the given image portion, thereby obtaining a plurality of difference maps corresponding to the plurality of image portions of the input image.
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Abstract
There are provided a system and method of vehicle image comparison, the method including: obtaining an input image comprising a plurality of image portions; retrieving a set of reference images; for each image portion, searching for a best matching reference portion in the set of reference images, comprising: i) for each given reference image: identifying a reference region; using a similarity model on the given image portion and the reference region to obtain a similarity map indicating a similarity between the image portion and a respective reference image portion; and selecting a reference image portion with the best similarity as a reference portion candidate; and ii) selecting the best matching reference portion; and comparing each given image portion with the best matching reference portion using a comparison model, giving rise to a difference map indicating probability of presence of DOI in the given image portion.
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Citations
31 Claims
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1. A computerized method of vehicle image comparison, comprising:
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obtaining an input image acquired by an imaging device capturing at least part of a vehicle, the input image comprising a plurality of image portions; retrieving a set of reference images; for each given image portion of the plurality of image portions, searching for a best matching reference portion in the set of reference images, comprising; i) obtaining a set of reference portion candidates corresponding to the set of reference images, comprising, for each given reference image within the set; identifying a reference region in the given reference image according to location of the given image portion within the input image, the reference region having a size that is not smaller than the given image portion; using a similarity model on the given image portion and the reference region to obtain a similarity map comprising one or more sections corresponding to one or more reference image portions with one or more respective locations within the reference region, each section in the similarity map indicating a similarity between the given image portion and a respective reference image portion; and selecting, from the one or more reference image portions, a reference image portion with the best similarity as a reference portion candidate for the given reference image; and ii) selecting the best matching reference portion from the set of reference portion candidates; and comparing each given image portion with the best matching reference portion using a comparison model, giving rise to a difference map corresponding to the given image portion, the difference map indicating probability of presence of difference of interest (DOI) in the given image portion, thereby obtaining a plurality of difference maps corresponding to the plurality of image portions of the input image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A computerized system of vehicle image comparison, the system comprising a processor and memory circuitry (PMC) operatively connected to an I/O interface, wherein:
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the I/O interface is configured to; obtain an input image acquired by an imaging device capturing at least part of a vehicle, the input image comprising a plurality of image portions; and retrieve a set of reference images; and the PMC is configured to; for each given image portion of the plurality of image portions, search for a best matching reference portion in the set of reference images, comprising; i) obtaining a set of reference portion candidates corresponding to the set of reference images, comprising, for each given reference image within the set; identifying a reference region in the given reference image according to location of the given image portion within the input image, the reference region having a size that is not smaller than the given image portion; using a similarity model on the given image portion and the reference region to obtain a similarity map comprising one or more sections corresponding to one or more reference image portions with one or more respective locations within the reference region, each section in the similarity map indicating a similarity between the given image portion and a respective reference image portion; and selecting, from the one or more reference image portions, a reference image portion with the best similarity as a reference portion candidate for the given reference image; and ii) selecting the best matching reference portion from the set of reference portion candidates; and compare each given image portion with the best matching reference portion using a comparison model, giving rise to a difference map corresponding to the given image portion, the difference map indicating probability of presence of difference of interest (DOI) in the given image portion, thereby obtaining a plurality of difference maps corresponding to the plurality of image portions of the input image. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A non-transitory computer readable medium comprising instructions that, when executed by a computer, cause the computer to perform a method of vehicle image comparison, the method comprising:
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obtaining an input image acquired by an imaging device capturing at least part of a vehicle, the input image comprising a plurality of image portions; retrieving a set of reference images; for each given image portion of the plurality of image portions, searching for a best matching reference portion in the set of reference images, comprising; i) obtaining a set of reference portion candidates corresponding to the set of reference images, comprising, for each given reference image within the set; identifying a reference region in the given reference image according to location of the given image portion within the input image, the reference region having a size that is not smaller than the given image portion; using a similarity model on the given image portion and the reference region to obtain a similarity map comprising one or more sections corresponding to one or more reference image portions with one or more respective locations within the reference region, each section in the similarity map indicating a similarity between the given image portion and a respective reference image portion; and selecting, from the one or more reference image portions, a reference image portion with the best similarity as a reference portion candidate for the given reference image; and ii) selecting the best matching reference portion from the set of reference portion candidates; and comparing each given image portion with the best matching reference portion using a comparison model, giving rise to a difference map corresponding to the given image portion, the difference map indicating probability of presence of difference of interest (DOI) in the given image portion, thereby obtaining a plurality of difference maps corresponding to the plurality of image portions of the input image.
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Specification