Parallel scale space construction using SIMD hypercube

Simple item page
dc.contributor.authorPanda, A.C.
dc.contributor.authorMehrotra, H.
dc.contributor.authorMajhi, B.
dc.date.accessioned2020-03-30T10:22:34Z
dc.date.available2020-03-30T10:22:34Z
dc.date.issued2012
dc.description.abstractThis paper proposes parallel scale space construction of Scale Invariant Feature Transform (SIFT) using SIMD hypercube. The parallel SIFT approach is used for iris feature extraction. The input iris images and Gaussian filters are mapped to each processor in the hypercube and convolution takes place in each processor concurrently. The time complexity of parallel algorithm is O(N 2) whereas sequential algorithm performs with complexity of O(lsN2), where l is the number of octaves, s is the number of Gaussian scale levels within an octave for N2 sized iris image. � 2012 IEEE.en_US
dc.identifier.citationProceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012, 2012, Vol., , pp.625-628en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/8684
dc.titleParallel scale space construction using SIMD hypercubeen_US
dc.typeBook chapteren_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
8684.pdf
Size:
289.09 KB
Format:
Adobe Portable Document Format
Download

Collections

2. Conference Papers