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Cloud Service for Recognition of Specific 3D Objects

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dc.contributor.advisor Dailey, Matthew N.
dc.contributor.author Simapornchai, Apiporn
dc.contributor.other Duboz, Raphael
dc.contributor.other Bohez, ErikL.J.
dc.date.accessioned 2015-05-14T04:14:57Z
dc.date.available 2015-05-14T04:14:57Z
dc.date.issued 2014-07
dc.identifier.issn AIT Thesis no.IM-14-05
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/795
dc.description 64 p. en_US
dc.description.abstract Due to constraints on cost, power consumption, perceptual capabilities, knowledge management, reasoning capabilities, and compute power, the adoption of advanced service robots has thus far been limited. In order to spread the adoption of service robots, further development is crucial. This thesis is study on the use of cloud computing platforms that support robotic applications, specific ally object recognition, expanding the compute compute and storage capacity of the robot system. The thesis presents a system architecture, implemented prototype, and initial experimental data on a cloud infrastructure platform for recognition of specific 3D objects. The objective is to prove the concept of enabling robot to share knowledge with others via cloud services while decreasing the required cost and power consumption. Through testing of the speed and accuracy of recognition on the developed prototype architecture, I proved that the cloud platform architecture is a feasible solution for 3D object recognition. en_US
dc.description.sponsorship AIT Fellowship en_US
dc.publisher AIT en_US
dc.subject 3D object recognition, cloud computing, cloud service, machine vision, template alignment en_US
dc.title Cloud Service for Recognition of Specific 3D Objects en_US
dc.type Thesis en_US


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