![]() ![]() Such capable tools that are currently installed on my computer for this task are:įlexify2 (Flaming Pear Software), AutoPano Giga (Kolor), PTGui (New House Internet Services), Hugin (Open Source software), Pano2VR (Garden Gnome Software) and the Panorama tools (Freeware by Helmut Dersh. Anyhow, when the fisheye projection is unknown, the generic projection can be selected. The latter is mostly intended to possibly reduce the extent of the required image correction and in some case to strengthen the sofware stability: the input format is set at a type that is the closest to the known projection of the concerned source image. They also accept several various fisheye image formats as input but a considerable difference of processing context is to be noted: either a generic(Equidistant) input format is inputable or a specific format can preferably set. e., Stereographic, Equidistant, Equal Area and Orthographic). While they are also intended for correction of regular rectilinear image, many Software are capable of outputting fisheye images of the four "classical " types (i. How to create sample of synthetic images of all circular fisheye projections? ![]() ability to avoid mathematical chaos) can for instance be more accurately assessed when using such "aberration less" synthetic images. The actual precision of the fisheye lens modeling (that leads to efficient image correction) and the numerical stability (i.e. ![]() Inputing "artificially controlled images" is therefore preferable for better diagnostic after testing. pixel density) resolution near the image boundery, digital noise, lack of (or excessive) contrast, stray light and colored ring around the images circle, etc., these features shall all challenge the software algorithm during detection, correction and alignment and therefore they may disrupt the performance of the algorithm.The user's perception and analyzing skill may then be fooled and he may wrongly attribute the cause of the software disorder. For instance: light radial fall-off, optical vignetting, sensor/lens misalignment, image softness near the edge, parallax effect, entrance pupil shift along and off the lens axis, textures or features similitude between overlaying images, poor angular (i.e. However, many inevitable various intrinsic (and often unwanted) "features" of these images interact simultaneously and shall conjugate their (generally) negative effects to defeat the performance of these software. Images of real world images that are carefully shot with good cameras fitted with fisheye lenses can of course be used to put panoramic software to tests. Create synthetic circular images Creation and use of synthetic circular fisheye images Foreword: you may read this page to know better about fisheye lens various projections Q: Why one would bother to create synthetic circular fisheye images? A: (Mainly) To put panoramic software to test. ![]()
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