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The main aim of using SIFT for feature extraction is to obtain features that are very sensitive to changes in scale, rotation, image resolution, illumination, etc.
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Image Classification
The main aim of using SIFT for feature extraction is to obtain features that are very sensitive to...
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asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
reopened
Dec 23, 2021
by
rajeshsharma
The main aim of using SIFT for feature extraction is to obtain features that are very sensitive to changes in scale, rotation, image resolution, illumination, etc.
Select the correct answer from below options:
a) TRUE
b) FALSE
sift-use
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answered
Dec 22, 2021
by
rajeshsharma
Correct answer of the above question is : b) FALSE
The main aim of using SIFT for feature extraction is not to obtain features that are very sensitive to changes in scale, rotation, image resolution, illumination, etc.
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