What is the photometric stereo method (in computer vision)?
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Look what i have study in Computer Vision .. that there is steps u do to recognise the body or the shapes generally in computer vision\n\nand this vision helps in many things like defence in countries and radars \n\nso \n\n1- detect the object Ur looking at .. and u can separate it or segment it \n\n2- recognition of this object .. this recognition is by feature Extraction from that body\n\nthis features r many .. like FFT "Fast Fourier Transform"\nMean,Median,Variance....etc\n\nwhatever Ur feature is .. u make this feature to separate groups from each other .. like separating Gray scale colours as  An example .. or in medical Image .. to recognise the damaged tissue by search about high destiny colours in the image\n\n3- after features Extraction u have to Classify ur Groups \nlike belong each Shape to its group .. till u find ur wanted shape\n\nafter recognition .. u have to do decision\n\nlike in Radars .. if u detect an plane in Ur country air field .. it inform it to out or hit it .. this is the decision\nor in auto driving Cars based on Computer vision\nby recognition people from cars and to talk the decision to stop or move or turn \n\n\ni hope i could helped u man \n\nif u found ur answer give me the ten points :))
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There are many of them , some are very expensive and some are free , here you can read more and have a 100% free copy of a Very Good Photo Software that can do that:     http://downint.googlepages.com/photosoftware
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Here is what I found...\n\nhttp://www.site.uottawa.ca/~laganier/tutorial/opencv+directshow/cvision.htm\n\nhope this helps ...
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Would use photshop rather than image ready - Image Ready is more for web-based graphic than photo correction.\n\nYou want to first select the area using the lasso tool; then use the colour correction tools - the "hue/saturation" or the "selective color" tools - adjust the colour/tonal ballance.
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Here's a nice little how-to for Image Verification with code.
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I would use a quadrat system to assess the diseased area of anything. Exactly how you might do that would depend on the degree of accuracy you need and the time you have.\n\nyou could adapt the method to suit your needs, either using photographs with grids printed or maybe if you want to be more accrate, peeling the skins to spread them out and projecting a grid onto them?
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When you look with your two eyes you actually see two different images which the brain then interprets to give you depth perception (using parallax).  With 3D images they basically just recreate that by having showing each eye a different image.\n\nThere are many different ways of doing it, red blue glasses being the most well known but using different polarisations of light has also been used (one horizontal and the other vertical).  Other systems use glasses which flick between open and closed for each eye rapidly.
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A 3D scanner is a device that analyzes a real-world object or environment to collect data on its shape and possibly color. The collected data can then be used to construct digital, three dimensional models that are used in a wide variety of applications. These devices are used extensively by industry in the production of such things as movies and video games. Other applications include industrial design and prototyping, computer vision and documentation of cultural artifacts.\n\nTwo types of 3D scanners are contact and non-contact. Non-contact 3D scanners can be further divided into two main categories, active scanners and passive scanners. There are a variety of technologies that fall under each of these categories.\n\nThe purpose of a 3D scanner is usually to create a point cloud of geometric samples on the surface of the subject. These points can then be used to extrapolate the shape of the subject (a process called reconstruction). If color information is collected at each point, then the colors on the surface of the subject can also be determined.\n\n3D scanners are very analogous to cameras. Like cameras, they have a cone-like field of view, and like cameras, they can only collect information about surfaces that are not obscured. While a camera collects color information about surfaces within its field of view, 3D scanners collect distance information about surfaces within its field of view. \n\nGood quality 3D scanner will cost you $ 2495.\nPl. visit:\nhttps://www.nextengine.com/indexSecure.htm
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Take the biggest picture you can, then shrink it.\n\nIt doesnt actually do what you are asking, but it gives the appearance of it.
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symetric designs, ratios from diagram to real material
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Many different ways.  Camera obscura.  High density filters.  Extremely fast exposures, etc.
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Most likely for depth perception.
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Several different ways depending on the distances involved.\n\nFor close stars, we look at where the star appears to be in the sky at times about half a year apart. Think of looking at your outstretched thumb through your left eye, and then your right eye. The thumb appears to be in a different position with respect to a distant building. In the same way, a star will appear to be in a slightly different position when we look at it from different ends of the earth's orbit. The amount of shift depends on the distance to the star and that allows us to figure out the distance. This method is called paralax.\n\nFor slightly more distant stars, we look at clusters of stars and measure their apparent motion across the sky over a course of *years*. Just as train tracks appear to converge at the horizon, the motions of the star will appear to converge. The rate of convergence is related to how far away the cluster is.\n\nWith these methods, we get enough stars to do statistical analyses of the brightness of the stars versus their chemical composition and other aspects of their spectrum. With this knowledge, we can estimate the distances to further stars by just comparing their spectrum to that of already measured stars. Scientific models of stars are used at this stage.\n\nFarther away than this, we look for 'standard candles', that is, stars of known brightness. By comparing the brightness they appear to be versus their actual brightness, we can estimate their distances. A particular type of 'standard candles' are the Cepheid variables. Their actual brightness depends on how fast they vibrate. Since we can see these stars in other galaxies, we can use them to determine the distances to those galaxies.\n\nFinally, after we know the ditances to some galaxies, we can measure the rate at which they move apart as a function of distance. By measure red-shift (hence speed) of more distant galaxies, we can determine their distances.
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Optical mice use an LED and a camera to rapidly capture images of the surface beneath the mouse.  The infomation from the camera is analyzed by a DSP (Digital Signal Processor) and used to detect imperfections in the underlying surface and determine motion. Some materials, such as glass, mirrors or other very shiny, uniform surfaces interfere with the ability of the DSP to accurately analyze the surface beneath the mouse.  \nSince glass is transparent and very uniform, the mouse is unable to pick up enough imperfections in the underlying surface to determine motion.  Mirrored surfaces are also a problem, since they constantly reflect back the same image, causing the DSP not to recognize motion properly. When the system is unable to see surface changes associated with movement, the mouse will not work properly.
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Try Adobe PhotoDeluxe Home Edition\n\nVery Easy and Powerful.\n\nYou wont believe it\n\nThere is also PhotoBrush.
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Well, for one, you need the sun. After that, I'd get some sidewalk chalk, then make a marking on the ground. Then place the object whose shadow you are measuring in a position where the top of the shadow meets the marking. Then make another marking at the bottom of the shadow. Then, using a ruler, measure the distance.\n\nIf you're looking to do this mathematically, you would need to know the height of the object and the angle at which the sun is (which you can approximate based on the time of day).
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highlighting and lowlighting