Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems
The integral image, an intermediate image representation, has found extensive use in multi-scale local feature detection algorithms, such as Speeded-Up Robust Features (SURF), allowing fast computation of rectangular features at constant speed, independent of filter size. For resource-constrained re...
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
MDPI
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541907/ |