fredreload

Well then the only way is to have a ray tracing suit, nothing new, I've read it somewhere, first you record the image on one end, then you project the image on the other end with a screen, is as simple as that. With a suit like that even though light does not pass through you still have an invisible effect. So absorb photon on one end, and reemit it on the other end

Right, the visible spectrum of the light is converted, need more thoughts on this, my bad But on the contrary, black color could be converting light to a non-visible spectrum instead of having it absorbed?

I said light bounces off, but in ultraviolet or radio wave. If it reflects it's a mirror. Well but it doesn't exactly pass through either. Right it might be black, I'm sorry Klaynos

Black is when light is absorbed and nothing bounces back, invisible is if you increase or decrease the wavelength of light by a significant amount, I'm not sure if it is doable

I want to create an invisible cloak, basically any light photon that bounces off this cloak becomes ultraviolet, therefore the eyes cannot perceive it, render it invisible

Descriptor is used in feature matching, at least for OpenCV in the matching Search by image would be more interested in scale, that is the only thing I did not accomplish Ya, and there's video encoding, this is pretty cool, I'll take a look, thanks

I did get a chance to play around with some image recognition techniques, one being the local binary patterns. You can also train the image feature with a bag of words concept, I particularly like local binary patterns because you can just compare the histograms, a good program I've used would be in the link here. Unfortunately this only applies for gray image but not RGB image, and I did not have enough time to play with filtering techniques such as gabor filter, but the result I found using the above link did provide some really good results as the distance gets close to 0.01 or below. Now with that said, local binary patterns and binary strings are different things, but a similar image comparison can be made using this method. Now assuming you've split a 60 min video with a frame by frame results you are still able to obtain the value of an image. Now if you say you wan to look through one thousand 60 min videos to find the image of the dog using local binary patterns, well that will probably take 5 years. But even then you have something like Google Image, which searches through considerably large amount of images out there. So why isn't it done, I'd like to see it being applied to Youtube and other sites. But, I think it just takes too long browsing through all the binaries, well or could there be other reasons? P.S. On another note, local binary patterns does not apply for features, so when you shrink the image to a different size it might runs into trouble, well but I haven't fully test it

That would be a good idea

Like you Fiveworld I like to watch live stream video, but that doesn't mean the live streams will get censored

Well I'm pretty sure they are censored in the first place when found, reasonably, I'm pretty sure most are allowed other than those censored by the government for purposes

Hmm, I found some film negative image on Google, but it doesn't look that appealing, and it is probably not true subtractive color as you've mentioned. You are right, once the light passes through the negative glass filter it becomes the color of the negative glass, hence negative color. Why do I keep thinking that film and subtractive color has to do with black hole. Is there a rumor on this, if it is misleading then I would just forget

Doctor Strange, I get your point, but I am searching for the image in terms of binaries, so I would first convert the image into a binary string, then attempt to match that binaries with the binaries of the video. This way I won't have to browse through the video to find the dog clip I want. Unfortunately, I am not sure if the binary of the image corresponds to the binary of the movie. Well, but from the most basic point of view, I would assume the binary of the dog image would resemble that of a dog drawn with 0's and 1's or I would simply translate all sorts of dog images to binaries and match that with a movie, assuming we get them in the same format. Now with this in mind, why hasn't it been done yet? Well, maybe this binary search method just takes too long or no one really cares about finding a dog in the video. I can't really say

For instance, I want to search a movie based on a few scenes, or I want to search for a music based on a few tones, all using binaries P.S. This would be tedious, or does it take too long?

Could be, I looked up on Kodachrome and it says it uses a Subtractive color method in storing the images that requires the use of glass plate negatives. I think Kodak films are stored with subtractive colors, but I could be wrong P.S. So Koti, the subtractive color should exist, probably not with the CYMK method, thing is a Kodak film looks rather transparent. Kind of wondering what's with all the mysteries surrounding these things

I need to put some thoughts on this one. Well to begin with you can create an image, then you use image search on that image, and each time you find a similar image you save it as a binary file, then you match the binary files to create a trainer and eventually a pattern, then any image you create based on this pattern would resemble the original image but with slight variation. Or you use an evolutionary algorithm on an existing program to get an even better program. Well this can be pretty broad, but it's just a concept as to what image search and evolutionary algorithm can do. We can create things to our liking toward a direction with a formula in mind P.S. Yes evolutionary algorithm haven't gotten that far aside from 3D simulation of fish and walking sticks but maybe we haven't put enough thoughts into it, no offense but those are great creations P.S. Keep in mind programs are also binaries, so you add in a 0 if it gets faster good, slower, change it to a 1, no change, etc

Right, maybe with openCV. I mean the RGB color can be converted to its respective subtractive color through image conversion by changing the values right? After all it is just the absence of that color, but I was unable to find a simple subtractive color image of a room, or any other images on Google, which got me kind of curious. Do you happen to have a link of the subtractive image like that somewhere? And I don't mean just by a single color, all the respective color would be changed to its subtractive color like an unprocessed Kodak film

Well, so to rephrase what I mean, files exist as binaries, and to pull that file out of existence is to get the correct binary sequence or number. Now this number can be quite huge, but with some trainer we should be able to filter and get the desired file out of thin air. Now this is just a thought, but think of a machine that can pull and get you the file you need by building and training binaries. So I am just curious as to what approach you would take because this is all theoretical. Probably with an evolutionary algorithm.

Hmm, one thing remains in mind is, if you picture the world entirely with subtractive colors, what would the world looks like? This can probably be done with programming aspects, although I haven't seen such a function on OpenGL

Let's see, which type of particles enters the atmosphere at night and is not stopped by the atmosphere? To being with, why isn't photon stopped by the atmosphere?

Ya well, I guess device works better heh

Cool, cool idea. I'd like to be like a radar you know or see radio wave. See outside my room, or see through cement, right I need more thoughts

Right I saw, if you shine all three lights together it's a double value of R, G, and B. I thought it's something cool, maybe in an artistic sense

I want to create my own bat sense so I would like to see something else besides photon(light), is that possible?

Swansnot, prove me wrong http://hyperphysics.phy-astr.gsu.edu/hbase/vision/subcol.html#c1

I was trying to reflect the three colors off the screen on a piece of paper lol, but most of them got black color at the center anyway.