Relation-based clustering of particle measurements for industrial automation

Memon, Qurban A.

doi:10.1504/ijaac.2007.014020

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Camera Calibration1

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2016

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“…3, that consists of neurons in a similar structure to a network. ANN helps in machine learning and pattern recognition [10][11][12]. Thus, such networks have proved successful in hand gesture and face recognition.…”

Section: Camera Calibrationmentioning

confidence: 99%

Investigating camera calibration for eye tracking of the physically challenged

AlKassim

Memon

2016

MATEC Web of Conferences

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Abstract. This paper tries to address a problem faced by a proportion of community -the paralysed people, and investigates a solution in calibrating a camera used for the purpose of eye detection. The eye tracking is later used to read characters from a partner-assisted keyboard. As such, this keyboard solves the problem of immobility. In order to calibrate camera for the purpose of eye detection, two approaches are implemented-Artificial Neural Networks and Support Vector Machines in context of paralysed people, and are discussed in detail in this paper. The results of both approaches are compared in order to select the best approach to be used in keyboard that operates on eye tracking.

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Section: Camera Calibrationmentioning

confidence: 99%