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2026_ML pour la reconnaisance des formes
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Suppose:
- we are computing the Bag of Visual Words (BoVW) vector from an image;
- we computed 1472 descriptors (represented each by 128 integers) for this image;
- our codebook contains 256 elements;
- each element in our BoVW vector is represented by a float32 (4 bytes).
What is the size in bytes of the BoVW vector for this image (right after the encoding step, with the simplest possible pooling)?
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For this question, we use the following matrix notation to describe the homography which projects the point to the point :Such matrix expresses transformations around the origin, and to perform a rotation around an arbitrary point we need to proceed as follows:
- Translate the rotation center to the origin;
- Perform the rotation;
- Apply the inverse translation to reposition the center of rotation to its original position.
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For this question, we use the following matrix notation to describe the homography which projects the point to the point :Such matrix expresses transformations around the origin, and to perform a rotation around an arbitrary point we need to proceed as follows:
- Translate the rotation center to the origin;
- Perform the rotation;
- Apply the inverse translation to reposition the center of rotation to its original position.
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Among the following indexing techniques, which are the ones suitable for float descriptors?
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Among the following indexing techniques, which are the ones suitable for binary descriptors?
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What is the purpose of the ratio test used to filter descriptor matches?
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Suppose we match descriptors from a query set against a database of descriptors extracted from several images.Our system is supposed to be implemented correctly, and that we perform a one-way match.Among the following propositions, check the ones which are true.
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What would be the best measure, among the following, to compare unnormalized color histograms descriptors?
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Select the appropriate legend for each sub-figure A-C in the image above.
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