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A Survey on RealSense

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dc.contributor.author Rabbani, Masud
dc.contributor.author Mia, Md. Jueal
dc.contributor.author Khan, Thaharim
dc.contributor.author Zarif, Md Ishrak Islam
dc.date.accessioned 2021-11-29T08:19:02Z
dc.date.available 2021-11-29T08:19:02Z
dc.date.issued 2020-07
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6511
dc.description.abstract RealSense technology is such a technology which is implemented for machines and device for measuring the capabilities of those apparatus. The capabilities are related to the perceptions of those machines and devices. This technology mainly learns a machine to understand the world with cogitation. RealSense technology introduces cameras to explore the environment with ins and out as it is parallel working with high definition cameras. This technology is used in many categories. Object detection, facial expression detection, shape measurement, image processing, and so on. Among all of the types, RealSense technology is used in huge amount for object detection. In this category real sense mainly focus on the object which is vitally important for understanding the full scene, and understanding the other aspect of the scene with which the object can be classify for better understanding. This paper mainly provides an overview of RealSense technique to the modern technology with its 3D visual functionalities adding the developed application which is published based on Microsoft Kinet and also with SR300 technology. Also this work can give a clear overview to the researchers about the fact that which domain of research is easier with this RealSense technology and in which domain they get more accuracy. en_US
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject RealSense en_US
dc.subject SR300 technology en_US
dc.subject Microsoft Kinect en_US
dc.subject Object detection en_US
dc.subject Facial expression detection en_US
dc.subject Shape measurement en_US
dc.subject Image processing en_US
dc.title A Survey on RealSense en_US
dc.title.alternative In context of Research and Application en_US
dc.type Article en_US

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