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dc.contributor.authorKulasekara
dc.contributor.authorDMR
dc.contributor.authorSandaruwan
dc.contributor.authorD
dc.contributor.authorKeppitiyagama
dc.contributor.authorC
dc.contributor.authorKodikara
dc.contributor.authorND
dc.date.accessioned2019-11-22T12:14:10Z
dc.date.available2019-11-22T12:14:10Z
dc.date.issued2019
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/2263
dc.description.abstractThe projector is a popular device for larger-scale display. Then projectors are used as a mobile device. The mobile projection has been increased its utilization and projector made a display for the temporal classroom, outdoor events, entertainment events, and mobile augmented reality application. It can generate a display on the desired area with casual projector arrangement. Projector display is bizarre when projection is dis-convergent from nonorthogonal position. However, there is no proper fully automatic calibration methodology for mobile projectors. Projector displays need distortion-free rectified imagery, which helps users to make contents legible. As a result of causes such as devices needing a fully automated realtime solution for distortion correction, knowledge of the pose of the projector and relative placement of the display surface to the projector is needed. A common limitation of existing techniques is using visual inputs to identify distortion of the display. Visual input (projector-camera pair [5]) needs pre-calibration phases[2][4][8][10] and high processing power (SURF, SIFT) [4][6][7]with loop-feed mechanisms[14][11] to compute a distortion. In the correction mechanism, fiducial [2] and screen marking boards[12] are damaged by the user's immersive feeling and scenery. This research proposed a novel hardware and software framework for continuous automatic projector calibration. Distortion correction is achieved by using input data from Inertial Measurement Unit (IMU), while minimizing processing power without using visual inputs. For that, we proposed small scale hardware apparatus: “Beam Adjustment Technology” (BAT). We used very inexpensive low power distance sensor and gyroscope to compute the projector relative pose to the screen. Proposed equations for estimate distortion based on perspective transformation. Processing unit distort a image according estimations and send to the projector. This approach is fully automatic continuous calibration mechanism.it has potential to enable any scalable projector and faulttolerant display solutions.
dc.language.isoenen_US
dc.subjectDistortionen_US
dc.subjectProjector displayen_US
dc.subjectcalibrationen_US
dc.titleAutomatic Projector Calibration for Mobile Projection on Planar Surfacesen_US
dc.typeArticle Full Texten_US
dc.identifier.journalKDUIRC-2019en_US
dc.identifier.pgnos333-338en_US


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