Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems

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...

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Bibliographic Details
Main Authors: Shoaib Ehsan, Adrian F. Clark, Naveed ur Rehman, Klaus D. McDonald-Maier
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Sensors
Subjects:
integral image
parallel architecture
memory-efficient design
embedded vision systems
Online Access:http://www.mdpi.com/1424-8220/15/7/16804

Internet

http://www.mdpi.com/1424-8220/15/7/16804

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