The standard of watching videos is really taking a big leap of late. The whole experience of watching a video has changed now with the introduction of 360 degree video or VR videos and movies. You may have already known how to shoot panorama photos with your Android phone or iPhone, but how to make a 360 video with these specially shot panorama photos or videos? One of the very crucial parts associated with this video making is video stitching. This is nothing but the process of combining various videos with the overlapping fields in order to create a panorama video in a single screen. The process is mostly performed through computer software. The process requires the exact overlaps of videos and identical exposures.
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It starts with SpotEditor, a one of a kind publishing software for Windows and Mac. The software includes a variety of image processing functions and configuration options designed specifically for the efficient handling of 360 product photography and 3D CAD images. Simply start by importing your unprocessed or fully processed images into the software and hit Publish to see the immediate results.
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So you’re asking yourself ‘why would you want to convert my 360 video to standard video.’ There are always instances where you want the viewers to look to the left and not miss the important parts or where a 360 video is feasible, or not how to best showcase your video. As a standard video, you are able to be the director and take your viewer along the visual journey you wanted them to see.
360-degree video is typically recorded using either a special rig of multiple cameras, or using a dedicated camera that contains multiple camera lenses embedded into the device, and filming overlapping angles simultaneously. Through a method known as video stitching, this separate footage is merged into one spherical video piece, and the color and contrast of each shot is calibrated to be consistent with the others. This process is done either by the camera itself, or using specialized software such as Mistika VR or Kolor AVP that can analyze common visuals and audio to synchronize and link the different camera feeds together. Generally, the only area that cannot be viewed is the view toward the camera support.