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committed by
Alexander Alekhin
parent
b17c1c6721
commit
5d9c6723ee
@@ -12,7 +12,7 @@ Theory
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We know SIFT uses 128-dim vector for descriptors. Since it is using floating point numbers, it takes
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basically 512 bytes. Similarly SURF also takes minimum of 256 bytes (for 64-dim). Creating such a
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vector for thousands of features takes a lot of memory which are not feasible for resouce-constraint
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vector for thousands of features takes a lot of memory which are not feasible for resource-constraint
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applications especially for embedded systems. Larger the memory, longer the time it takes for
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matching.
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