A reliable transmission protocol fordistributed extraction of visual featuresusing BRISK and SURF

Abstract: 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.