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A reliable transmission protocol fordistributed extraction of visual featuresusing BRISK and SURF
KTH, School of Electrical Engineering (EES), Communication Networks.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Performing visual feature extraction in a network of processing

nodes is challenging and requires the development of algorithms

that perform the allocation and delegation of computational tasks,

of protocols responsible for the correct transmission of data, etc.

This report starts working from the implementation of a testbed

for the evaluation of distributed processing of visual features and

extends its functionality. The testbed is implemented in C++ us-

ing credit-card sized computers and ZigBee USB units. Communi-

cation between nodes is carried out through ASN.1 defined types.

The first part of the thesis work consists of enabling the system

to work with two different feature extraction schemes. The first

one is the already implemented SURF algorithm from OpenCV

and the second one is the original implementation of BRISK. The

user must be capable of choosing indifferently between them. The

second part of the work consists of modifying the transmission

aspects of the system including the necessary classes to provide

reliability via the design of a retransmission protocol. The reliable

transmission protocol used is a version of a Stop-and-Wait scheme.

The system’s performance is evaluated detailing the time needed

to complete each step of the feature extraction process, presenting

a comparison between the SURF and BRISK detection and ex-

traction times, and computing the frame loss rate and achievable

throughput once the retransmission protocol is implemented.

Place, publisher, year, edition, pages
2014. , 61 p.
EES Examensarbete / Master Thesis, XR-EE-LCN 2014:008
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-156171OAI: diva2:765478
Available from: 2014-11-28 Created: 2014-11-24 Last updated: 2014-11-28Bibliographically approved

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