![]() ![]() To calculate the center and radius values of front and back images for each image resolution I simply used Photoshop guides (I’m sure someone can suggest a more efficient and accurate way to do it). I wanted to take some real examples to look at the image differences. The images are wider than they are tall (I’ll explain more about that next week). It’s also worth pointing out the images are not square. Therefore, each fisheye projection will have different dimensions dependent on the mode. When looking from above with the front lens facing away, the front lens is offset to the left and back lens to the right.Īs noted last week, the GoPro Fusion produces 3 image resolutions depending on the capture mode: The Fusion’s lenses are also slightly offset. The Fusion has two identical fisheye lenses. The image above was taken by the Fusion’s front camera in photo mode. Different lenses will produce different field of views. It’s important to note, this is a very specific example. You can see this as the image goes “behind” the zenith (top) and nadir (bottom) (and also left and right too). The field of view is greater than 180 (it is actually 220). In the image above, you can see the field of view illustrated very nicely. The Fusion produces circular fisheye images.Īs noted, the resulting fisheye images can have different fields of view, dependent on the lens and sensor. Gopro fusion photo samples full#For the full frame variety, the image is over-filled by the circular fisheye image, leaving no blank space on the film or detector. ![]() The only difference is one of Field of View: for a circular fisheye the circular image fits (more or less) completely in the frame, leaving blank areas in the corner. However, both follow the same projection geometrics. Panotools give a nice description of fisheye types:Ĭommonly there are two types of fisheye distinguished: circular fisheyes and fullframe fisheyes. ![]() Lets start this week by quickly introducing fisheye projections… Fisheye projections 101 We figured out that the Fusion produces dual fisheye images. Last week I took a look at the GoPro Fusion imagery produced by the camera. Understanding the Fusion’s fisheye projections with the aim of turning them into a single equirectangular image. ![]()
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