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<0> yo <1> my mum says hi <0> to me? <0> <grin> <2> TByte - YOUR mom says i'm better in bed than you <3> Hello everyone.... <4> hi <3> box_ Were you the one working on that commercial zapper? <4> yep <3> How's that going? <4> real good, taking a breather from it a moment after i just got past the most recent hurdle <5> hoooohaaaaa <4> i was migrating from VFW to directshow and it was going very poorly <5> new monitor is here :) <3> Something I was wondering - what were you using for filtering? I got videolab recently, but I didn't see a filter that did what you were doing in it. <4> it took over 3 monthes before i could access a tv tuner card the same basic way i was accessing my other video capture card
<4> by filter what do you mean? <4> i run a few diff processes over the image <3> You had something that filtered out the static by working across like 3 frames to find the garbage. <4> oh <4> thats all custom <4> nothing prefab like it <4> basically its an averaged frame <3> You may be able to make some $$$ if you interfaced it to videolab and sold it to them. <4> huh what does their product do for users? <4> video post processing? <3> Videolab is a set of controls for Delphi that allow you to do a huge pile of stuff. <4> looks neat <3> Lot of post-processing, but also other stuff <3> Also piles of audio and other things. <3> In other labs that is <4> what sort of license is it? <4> damn i should have been using video lab it looks like <4> i just reinvented a lot of this <3> Free for non-commercial - like $1500 if you use it in a commercial product. <4> wow <4> pretty pricey to profit from <3> They got a huge pile of stuff though. If I were using it in a product it'd probably be worth the dough. <4> sweet, brb <3> What I really want is something that works better than histogram equilization with my camera for seeing in bad light. <3> That was one cool thing I did with it though - I took my plain digital camera and got it to make viewable images just by the light of my computer monitor. <3> However I couldn't get it to work well with the actual stuff I wanted to use it for - collision detection - because automobile headlights and taillights caused m***ive flares after EQing the image. <4> sorry phone i'll brb <3> Bad because something could be in the flare and I'd never see it. However I did get some stuff working such that I could detect moving objects in daylight. <4> ah <4> back <4> yeah actually i bet i got something for that <4> it'd be a hack of this median filter <4> i dont actually use a standard histogram with my analysis right now <4> i use a hue-istogram <4> and a variance-istogram :) <4> but i think what you would want is some sort of brightness spread where you could map how much if at all to amp the light <4> so you could set the light spots to not amp at all the the dim spots to amp considerably <4> yeah videolab looks cool, lil rich for my blood though <4> maybe i'll rewrite it to use it when i get some VC <5> this is just the most stupidly large monitor ever <5> i am in love <3> Not sure if that would work now that I think about it - the problem is that the lights create a field around them of dim light - reflection off of dust and such. Thus I amplify that rather than what may be behind it. The physical optics of this is fairly complex before it ever gets to the camera.... <4> hmm <4> yeah dust could be a problem <3> So to do this right, I need to figure out what the flare around a light actually is, and remove it entirely leaving any slight variance still there. <4> what you could do is some sort of primitive pattern recognition <4> and recognize the basic shape/form of a flare <3> The other problem with histogram, and would probably be a problem with median etc. is that there's a certain level of static from the camera itself that creates ghost images. I THINK That your filter that goes across frames to eliminate noise would fix that. <4> and remove its brightness value at any given point from the source image at that point <4> curious though why not use sonar? <6> box, is your project available, sounds very interesting, i'd be interested in trying it out with my tv capture card. been using dscaler but the video quality is quite poor <3> For what I have in mind, moving WAY too fast. <4> i think its better suited for collision detection than images <4> bigstar no not yet but tell ya what if you msg me an email i'll put you on my beta list (just a list of emails by my computer atm) <3> box_ Using sonar at 500mph ain't gonna work. <4> it'll be ready to demo here pretty soon <4> wtf are you doing at 500mph?!? <3> Or transsonic speeds if I I build something that fast. <4> i dont think you should be polling your environment in realtime at that speed <3> While I'm experimenting on the ground, this is anticollision for drone aircraft and maybe some of my rockets. <4> just seems impossible to get decent valid data
<3> Being in the air actually simplifies the problem a LOT. <6> ok cool <4> maybe some sort of distributed laser ruler <4> randomly sampling its area <3> box_ It can be done visually because what I'm looking for is at a distance. <4> well damn <3> I'm debating on whether or not to tell you how I'm doing it with video ... I may be willing to trade you how I'm doing it for your filters or some such, but I really don't want to tell everyone what I'm doing so I don't wind up with someone pirating my ideas. <4> i have a really great image recog system in mind i've 'come up wiht' (prolly reinventing someone esle wheel but i dunno who) <4> yeah i understand <3> However the whole anticollision method does NOT depend on object recognition. <3> In its most primative form, it doen't even require edge detection, though that can help. <3> Basically what I do is search for motion against a more static background. <4> yeah i got a fair bit of that going on with my commercial filter <3> And if I do it from more than one camera I can tell distance as well as direction. <4> mroe or less, sure <4> better have those cameras really nicely synched <4> heh <4> well i dunno man <4> you seem cool and all <3> Ok, at the basis of this (which you can probably infer from what I'm telling you) is that rather than looking at a frame, I'm looking at the difference between two consecutive frames. <4> but i'm not interested in helping make any sorta rockets <4> for the good guys or the bad guys <3> box_ Mine do NOT carry anything military. <3> Never have, never will./ <3> They carry electronics. <4> what are your rockets for then? <3> I do it as a hobby. <3> I like to fly stuff. I do rockets rather than RC aircraft, though the two fields overlap. <3> .... <3> Lemme show you the biggest project I helped on. I did some of the video work. <4> cool <4> yeah thats cool i like model rockets too <3> Go to www.wsrocketry.com and click the Titan IV link <3> The actual failure of this flight was an engine did not come up to pressure. <3> Caused a huge amount of torque that the rest of the system could not stablize. <3> There were other issues, but a stop-frame analysis shows that the engine power problem was the main culprit. <3> The Delta II worked MUCH better, but I wasn't around for that one. <4> those are some pretty cool rockets there <3> Really REALLY ****ed that the Titan tore itself to pieces. <4> yeah i'm so worried about some of the stuff i've got in mind <4> this commercial filter could just as easily be recognizing people from a video stream <4> that wont be happening if i can help it <3> Yeah, but the cops already have that. <3> I wouldn't worry about it too much because other people have developed it. <4> i have a path nav algo i cooked up that sometimes feels like the next t2000 <4> and this other robotic sight project that a camera could use to concievably read and comprehend all kinds of written imagery <3> Like with my anti-collision - the military already has drones that have weapons etc. The problem is that their methods are all cl***ified so I have to do my own work. Thus I'm not giving them anything they don't already have. <4> like logos, signs, any sort of visual cues <4> yeah <4> thats true <3> If you get that going, I'd love to have it for my nav system. As I said, doing it in the air is easier, but I'd LOVE to make a car that could pretty much drive itself. <3> And that requires what you're talking about. <3> Have to read signs.... <4> yeah <4> my algo recognizes high contrast patterns (letters, logos, etc) in any orientation very quickly <3> Can you tell me your base method for doing that? The only way I know to do it is with wavelets. <4> and can abstract somewhat so it can recognize a variety of, say, capital A's from one basic capital A source pattern <7> naked? <4> yeah its wavelet based <4> basically you emit a wave from the averaged center of a region that has defined edges <4> and that wave produces feedback when it encounters contrast from its current tone to the next tone outwards from center along that given angle <4> the output is accumulated and has a spectrum, one side is contrast variance close to the emiitter, the other side, farther away <4> each degree incriment of the emitter wave would accumulated its own graph of contrast along that given line <4> and then all those graphs are more or less stacked up <3> Hrm. I'm kind of following that, but probably would need to step through it to really visualize it well. <4> a given input source image will produce the same graph regardless of orientation <4> upside down, 37 degrees to the right, doesnt matter <3> Yeah, 'cause it's a frequency spectrum. <3> Cleve. <3> Clever. <4> and if you normalize the size of the overall output image to the same sizes as your comparison images, size doesnt matter either <3> Yeah, for recognition high resolution usually makes things harder. <4> yeah <4> havent actually used that method yet
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