![]() ![]() ![]() Renambot, L., Bal, H.E., Hans, D.G., Spoelder, J.W.: CAVEStudy: an infrastructure for computational steering and measuring in virtual reality environments. Krevelen, D.W.F.V., Poelman, R.: A survey of augmented reality technologies, applications and limitations. ![]() In: Proceeding of Intelligent Robots and Systems (2004) Patil, R., Rybski, P.E., Kanade, T., Veloso, M.M.: People detection and tracking in high resolution panoramic video mosaic. Gledhilla, D., Tiana, G.Y., Taylora, D., Clarkeb, D.: Panoramic imaging-a review. Ohio’s Polytechnic University, University of Akron, Akron (2016) Trowbridge, M.J., Drake, I., Davis, S., Krco, O.: TITAN Wireless Camera Control System. Perez-Torres, R., Torres-Huitzil, C., Galeana-Zapien, H.: Power management techniques in smartphone-based mobility sensing systems: a survey. Ming, Y., Hao, S.: Smart living using bluetooth-based android smartphone. In addition, the proposed method remarkably improved the efficiency of the entire process by substantially reducing the panorama stitching process, which requires large amounts of time and work and new organizing tools, so that most processes can progress automatically. Through experiments, it was verified that the proposed method improve the accuracy of rotation angles and shorten imaging time during panorama VR imaging. Using the proposed system, an imaging time of 30 min in total can be reduced to 5 min with automatic rotation and automatic imaging. In addition, for the imaging using smartphones, a method was proposed that would enable remote automatic imaging through shutter release by the micro controller and camera installed in the VR panorama rig system. The X-axis and Y-axis rotations of the VR panorama rig system were automated through the control of two stepping motors, one attached to the X-axis, and the other attached to the Y-axis. To relieve such inconvenience, this paper was researched and developed VR panorama rig systems that will enable automatic imaging through smartphone control. Still Image Recording Settings: Normal mode (single capture), Self-timer mode, Interval recording mode, Burst mode.Using existing virtual reality (VR) panorama systems to take panorama VR photos is a lengthy and inconvenient process involving the use of many photos. Rechargeable Battery: Lithium polymer battery: 3.7V 1000mAhīattery Operating Time: 2 hours continuous operation (1080p/30fps) WiFi Live Streaming Resolution: When recording:WQVGA (400 x 240) Others: WVGA (800 x 480) Speaker: ProvidedMicrophone Provided (Stereo)Įxternal Interface: USB (MicroB) HDMI (MicroD)SD SlotSD/SDHC/SDXC UHC-1 up to SDR50 max. Movie/Photo Format: Movie:mp4 (H.264+AAC) Photo:jpg White BalanceAuto/Night/Daylight/Cloudy/Light Bulb/Florescent ![]() Projection is not includedį number: F2.0Focus Fix(up to 0.78 inch/20mm) The QBiC Panorama X allows you to make 360-degree panoramic video recording wihtout being affected by lighting in the environment.Įlmo introduced the QBiC Panorama in July 2014 and introduced the QBiC Panorama X, the upgraded model of the QBiC Panorama, in September 2015.ĭimensions (WxHxD)2.14 x 2.4 x 1.57 inches There are no reflections or glare from an external lighting source such a fluorescent light. No need to press the recording buttons of each camera to start recording. Simultaneous recording of 4 cameras can be done from the QBiC app (on iOS and Android) by connecting 4 cameras to Wifi. White balance, gain value, shutter speed and color temperature can be manually adjusted for optimum 360° panoramic video recording. This rig is basically 4 Elmo QBiC's chained together with an adapter which records vertically 180° and horizontal 360° panoramic video. ![]()
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