Color Vision 2: Color Matching

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  • เผยแพร่เมื่อ 24 ก.ค. 2024
  • The science of color is based on Color Matching, the ability to match any color using 3 basic colors, red, green and blue. Results of color matching lead through color space, to a color map called the Chromaticity Diagram. That defines a standard way to specify color, and is very useful for understanding how color works and color vision. Number 2 in series about Color Vision.
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ความคิดเห็น • 106

  • @ludokuralo8439
    @ludokuralo8439 ปีที่แล้ว +9

    10 years later and this is still one of the best series on internet describing color, amazing, thank you for sharing this great knowledge with us.

  • @jasonchau5701
    @jasonchau5701 8 ปีที่แล้ว +22

    On behalf of the University of Waterloo School of Optometry, thank you for helping us understand this concept!

    • @64hkal
      @64hkal ปีที่แล้ว

      some things never change

  • @AngelJoseRiesgo
    @AngelJoseRiesgo 8 ปีที่แล้ว +30

    This is a great explanation. I've been reading stuff about the CIE xyz colour model for a few days and I didn't really understand the negative red values and how 'imaginary colours' arise until I came cross this video. Thank you so much.

  • @warberg80
    @warberg80 3 ปีที่แล้ว +1

    This is possibly the most accessible and also elaborate explaination of these concepts you will find online.

  • @marcdraco2189
    @marcdraco2189 ปีที่แล้ว +1

    This should be required viewing for people like me who are trying to understand color science for working with modern video format and colour grading.

  • @KnackGraphics
    @KnackGraphics 7 ปีที่แล้ว +3

    All videos on topic of color vision are just awesome. I have looked for more than 75 articles and various videos but your explanations are easy to understand and simply the best. Thank you for sharing your knowledge.

  • @amartinjoe
    @amartinjoe 8 ปีที่แล้ว +4

    this is absolutely a brilliant explanation...I read a book about the CIE diagram...I could never figure it out....this video clears it up! thanks for uploading this!!!!

  • @DANGJOS
    @DANGJOS 4 ปีที่แล้ว +4

    Oh my God this is the best explanation of color I've seen so far! Fascinating!

  • @kittytwister9011
    @kittytwister9011 2 ปีที่แล้ว

    I've been researching this topic for weeks and this is one of the best videos I've seen so far!

  • @DavidRutten
    @DavidRutten 7 ปีที่แล้ว

    This is by far the best explanation of the Yxy model I've come across since forever.

  • @anikethsuresh3028
    @anikethsuresh3028 4 ปีที่แล้ว

    Literally the best explanation of colour matching on the internet!
    Thank you!

  • @edinfific2576
    @edinfific2576 4 ปีที่แล้ว

    Great explanation! I learned and understood a few things about color matching and color that I didn't before!
    Thank you for your great work here!

  • @adityapandit5083
    @adityapandit5083 7 ปีที่แล้ว +2

    Great video

  • @ngusumakofu1
    @ngusumakofu1 6 ปีที่แล้ว

    Just wow! I spent several weeks trying to understand this subject and the different aspects of it didn’t quite tie in together. Till I watched this video. Thanks a bunch. Now I think I’m better prepared for my finals!

  • @SoukiBelghiti
    @SoukiBelghiti 6 ปีที่แล้ว +1

    as every one else, a very warm thank you. You make it sooooo much clearer! Great explanations

  • @spacediver99
    @spacediver99 11 ปีที่แล้ว +2

    this is an excellent presentation of some tough concepts. I've been trying to get my head around this stuff recently and your video has really furthered my understanding. Looking forward to part 3 :)

  • @touchtherunner
    @touchtherunner 10 ปีที่แล้ว +4

    Perfect explanations! Very grateful for all the work input, it surely helped a lot :)

  • @VaddinaVivek
    @VaddinaVivek 10 ปีที่แล้ว +1

    Excellent explanation... this same thing took me around 2 hours to understand by reading... Thank you.

  • @samelorc
    @samelorc 10 ปีที่แล้ว +3

    Incredibly helpful. Thank you very much!

  • @ManoharSrikanth
    @ManoharSrikanth 9 ปีที่แล้ว +1

    Thank you! Especially for the explanation of negative part of the 'r'...

  • @DestinyLeap
    @DestinyLeap 6 ปีที่แล้ว +1

    This is a life saver, thank you for your work

  • @andrejlozar9896
    @andrejlozar9896 5 ปีที่แล้ว +2

    Awesome and easy explanation. Thank you!

  • @camryhsalem5139
    @camryhsalem5139 ปีที่แล้ว

    This is a great explanation of my favorite subject : color
    Thank you 💖

  • @Manitham-vk8er
    @Manitham-vk8er 10 หลายเดือนก่อน

    Wow....what a wonderful teacher...Thank you very much..........A great way of explanation...

  • @ck1416
    @ck1416 7 ปีที่แล้ว

    wow, I can actually understand the diagram now! thank you for the great video

  • @CalvinsWorldNews
    @CalvinsWorldNews 6 ปีที่แล้ว

    When we see the locus graph, is it as if we're seeing the 3d triangle chart side on? If so then I don't get why the diagonal base doesn't aim for the xy zero point. Or is it because it's being adjusted back due to the negative color thing?
    To be honest the negative color thing doesn't really make sense to me either but I guess it's ultimately down to a perception thing (we don't have equally spaced RGB color receptors in our eyes) and I'll blame nature.

  • @edinfific2576
    @edinfific2576 4 ปีที่แล้ว

    So, in order to get these blue-green colors outside of RGB space, we need additional blue and green light sources at their wavelengths being closer to that part of the gamut?

  • @tivipanasonic
    @tivipanasonic 4 ปีที่แล้ว

    wow! Thank you so much for sharing these videos.

  • @mrkyeokabe
    @mrkyeokabe 3 ปีที่แล้ว

    Fantastic video Craig!

  • @cbeyedr
    @cbeyedr  9 ปีที่แล้ว

    That is correct. Picture a triangle inscribed within a circle. There will always be uncovered regions.
    However, for TV and computer monitors it turns out we don't seem to notice the missing colors.

  • @surendragupta2376
    @surendragupta2376 6 ปีที่แล้ว

    Sir, may I please know if there is any mathematical modeling done to get this tristimulus values?

  • @t-h787
    @t-h787 6 ปีที่แล้ว

    Exactly what i needed, thank you so much!!

  • @javianbrown8627
    @javianbrown8627 6 ปีที่แล้ว

    Question. Why do some devices go outside of the RGB triangle?

  • @babupkuriakose
    @babupkuriakose 4 ปีที่แล้ว

    Very good explanation. A good resource who works in Lighting Technology

  • @bjurv
    @bjurv 6 ปีที่แล้ว

    It would be a wonderful image for understanding if the spectrum shown on 3:37 could be put under the curves on 3:59. (All on the same image). For even quicker understanding. Very good lectures! Thank you

  • @kksrinivas24
    @kksrinivas24 7 หลายเดือนก่อน

    Excellent explanation. Thanks you !!

  • @Greghouse
    @Greghouse 8 ปีที่แล้ว +4

    Very informative, thank you very much! :-)

  • @adityapandit5083
    @adityapandit5083 7 ปีที่แล้ว

    and could you please make a video or suggest me some reference material to understand the Munsell color system?

  • @WhiteDragon103
    @WhiteDragon103 7 ปีที่แล้ว +1

    If monitors used 530 nm or 525 nm green, wouldn't that improve the range of colors that can be displayed substantially?

  • @artyroja231
    @artyroja231 11 ปีที่แล้ว

    excellent set of videos!

  • @fidrewe99
    @fidrewe99 4 ปีที่แล้ว

    Wow, I'm wondering why purple lies so close to blue in the chromaticity diagram. It seems that just a little bit of red is sufficient to create purple from blue, which is not the case, when I add R and B in RGB.

  • @ernestonoiran1852
    @ernestonoiran1852 3 ปีที่แล้ว

    So, the colors I see on my screen, outside of the RGB triangle on the CIE map, which can not be recreated by RGB combinations, are not the true map colors? As my screen is RGB?

  • @kovenyu9041
    @kovenyu9041 4 ปีที่แล้ว

    Awesome video! Thank for sharing

  • @rachelexler137
    @rachelexler137 8 ปีที่แล้ว +6

    You have save me!! Great video.

  • @pauro19leo
    @pauro19leo 3 ปีที่แล้ว

    Thanks for this contribution!

  • @trevorpsy
    @trevorpsy ปีที่แล้ว

    Looking at the chromaticity diagram, why not change the value of pure green to 520 manometers? Wouldn't this significantly expand the number of colors that can be generated by mixing pure red, blue, and green? What am I missing here?

  • @john_hunter_
    @john_hunter_ 4 ปีที่แล้ว

    So why do we only use red, green and blue to reproduce colours when it can't completely recreate cyan? Surely if we used a 4th cyan coloured light, then we would get closer to the full range of colours, right? Or even 5 lights to get close to the shape of the chromaticity diagram.

  • @DrHofstadterFPS
    @DrHofstadterFPS 8 ปีที่แล้ว

    Thanks for this great video! Why do you still label XYZ axes as red/green/blue? Aren't XYZ transformed from RGB, thus different than RGB?

  • @PortlandMan
    @PortlandMan 6 ปีที่แล้ว

    If you are given the X and Y cordinates, how do you work out Z?

  • @tyu64671
    @tyu64671 6 ปีที่แล้ว

    I need an example of metamerism with the cie, but i cannot find any. can someone help

  • @kevinhitzler3977
    @kevinhitzler3977 7 ปีที่แล้ว

    Great video. Thanks!

  • @casewm
    @casewm 10 ปีที่แล้ว

    Thank you. This was very helpful.

  • @ruchitdalwadi6878
    @ruchitdalwadi6878 8 ปีที่แล้ว

    A well informative video. But sir, can this concept be used to select which color goes well with each other ?

  • @thalitaluzia8190
    @thalitaluzia8190 7 ปีที่แล้ว

    Thank you! It helped me a lot!

  • @ShiXingDongZhan
    @ShiXingDongZhan 9 ปีที่แล้ว

    what does the module of the vector mean?

  • @kikuribot4316
    @kikuribot4316 7 ปีที่แล้ว

    what about violet?? why did he grouped it with blue like if they were the same???

  • @jpiabrantes
    @jpiabrantes 9 ปีที่แล้ว

    Thanks for the video. Does this means that the monitors, that mix light from red, green and blue pixels, can't represent all spectrum of visible light? Thanks again.

    • @Lumpiluk
      @Lumpiluk 8 ปีที่แล้ว

      Exactly. Most can't even represent all colors of the standard RGB (sRGB) space.

  • @diato2993
    @diato2993 ปีที่แล้ว

    best explanation! thank you

  • @markusklyver6277
    @markusklyver6277 5 หลายเดือนก่อน

    Hello! I have a hard time understanding the tristimulus chart. I thought the CIE diagram was based on the normalized responsivity spectra of human cone cells, not on the linear combination component values of a wavelength onto the 700 nm, 546.1 nm and 435.8 nm. Or are they the same thing? And why is the tristimulus chart negative? And why those particular wave lengths?
    Thanks!

  • @davidroif5364
    @davidroif5364 6 ปีที่แล้ว

    thank you for this video!

  • @oporim
    @oporim 9 ปีที่แล้ว

    Awesome explanation.

  • @kshitizkumar4103
    @kshitizkumar4103 3 ปีที่แล้ว

    Thank you. Really helpful.

  • @aliyashafi9945
    @aliyashafi9945 5 ปีที่แล้ว

    Great video! love from UW optometry! :) thanks

    • @votesrus
      @votesrus 5 ปีที่แล้ว +1

      Actual Life Saver

  • @capistor1
    @capistor1 18 วันที่ผ่านมา

    Hi. Very informative vidoe.. my final year project is based on this and i'd love to read more about this.. is there a book you recommend to understand color spaces in general?

  • @sugar8061
    @sugar8061 4 ปีที่แล้ว

    Thank you so much I really needed it ♥️♥️

  • @sourabh24hrs
    @sourabh24hrs 8 ปีที่แล้ว

    Thank You. It was helpful

  • @inventorBlack
    @inventorBlack 4 ปีที่แล้ว

    Thanks, great explaination

  • @sorafune76
    @sorafune76 4 ปีที่แล้ว

    Thank you so much I really needed it

  • @bruceli9227
    @bruceli9227 2 ปีที่แล้ว

    really great and helpful video

  • @migliorfabbro
    @migliorfabbro 8 ปีที่แล้ว

    helpful and informative. i have a couple of questions if someone cares to answer:
    1. Why does the spectral locus look the same in the unit plane and in the XY graph later on
    2. why is it the adding colors represented by chromaticity points on the chormaticity diagram will result in a color that is in between the line joining the two points

    • @markusklyver6277
      @markusklyver6277 5 หลายเดือนก่อน

      To answer your second question, it's just how linear combination works. Let us assume you have two points: (x₁, y₁, z₁) and (x₂, y₂, z₂). Now you have the conditions:
      x₁ + y₁ + z₁ = 1
      x₂ + y₂ + z₂ = 1
      and adding them together yields
      x₁ + x₂ + y₁ + y₂ + z₁ + z₂ = 2.
      Now if you divide by 2 you get (x₁ + x₂ + y₁ + y₂ + z₁ + z₂)/2 = 1, which shows that adding the points and normalizing the sum is the same as taking the midpoint of the points.

  • @kornelijekovac9793
    @kornelijekovac9793 9 ปีที่แล้ว

    How exactly did you go from RGB into XYZ into xyY? What is physical interpretation of all those axes? OK, RGB values are intensities of light reflectors. You could have drawn a 3D figure of visible light in that color space (disregarding reds being negative) and then went on explaining from there?

    • @cbeyedr
      @cbeyedr  9 ปีที่แล้ว

      Some complexity here. There are several steps in the process of converting real RGB stimulus values into the useful, but imaginary, XYZ system. Transformation reasoning and equations can be found in detail in the classic text, Wyszecki and Stiles (Color Science, 2nd ed), section 3.2.5. Judd (Color in Business, 1975) has a friendlier, but less detailed explanation. (In a good library near you?)

    • @kornelijekovac9793
      @kornelijekovac9793 9 ปีที่แล้ว +1

      Yes I have those transformations and I'm watching them. Correct me if wrong.
      1. Y was chosen to match luminosity and X and Z were "pulled away" so that XYZ space could envelope the whole visible spectrum with coordinates for all visible colors (and even some more) being positive. What confuses me is jump into xyY. It should be just a slice for X+Y+Z=1? But if Y is luminosity, how come we have color information upwards the Y axis? Why don't we have a chromaticity diagram in X-Z plane, but we go up in X+Y+Z=1 plane?
      2.If cyan color was the problem for color matching experiment, so we had to add negative red, and our solution was to drive blue and green into imaginary supersaturation, we ended up in XYZ where X, Y and Z represent super-saturated red, green and blue, how come Y only carries luminosity and no chromaticity data?
      3. OK, the intersection of that plane (X+Y=Z=1) and our visible color space forms a basic version of chromaticity diagram? Why don't we use it as is?
      4. Is there a special reason we project it on XY plane, and not on XZ? Or, in other words, what would be the fundamental difference in xzY against xyY?

  • @hardeepsingh68
    @hardeepsingh68 3 ปีที่แล้ว

    Thanks for understandable explaination

  • @iAmTheSquidThing
    @iAmTheSquidThing 8 ปีที่แล้ว

    Surely if we can't represent the full gamut of human vision with RGB, that must mean we chose inadequate primary colours? If we used the same primaries as our cone cells detect, wouldn't we be able to match any colour they can perceive?

    • @Lumpiluk
      @Lumpiluk 8 ปีที่แล้ว +1

      Unfortunately no. The gamut in XYZ space is cone-shaped, so there's no way to position three real colors as primaries inside the gamut such that all other colors can be mixed with positive-only coefficients. I'm not sure how to relate this to how our eyes detect color, though. Maybe it has something to do with the response curves not being symmetrical around their maxima?

    • @iAmTheSquidThing
      @iAmTheSquidThing 8 ปีที่แล้ว +1

      Lumpiluk Apparently it's something to do with the response curves overlapping. Such that it is impossible to stimulate one set of cells without also stimulating the others.

  • @diegolozano3834
    @diegolozano3834 3 ปีที่แล้ว

    It is a really good explanation

  • @mbsoysal87
    @mbsoysal87 9 ปีที่แล้ว

    Wonderful explanation

  • @isharadharmasena7202
    @isharadharmasena7202 10 ปีที่แล้ว

    Thanks a lot

  • @kunalsoni7681
    @kunalsoni7681 3 ปีที่แล้ว

    Great explains 😊😊

  • @rogerxue7792
    @rogerxue7792 2 ปีที่แล้ว

    困惑了我很久,非常感谢

  • @jurekompara6396
    @jurekompara6396 2 ปีที่แล้ว

    I dont understand why matching red(700nm) requires 0 red, shouldnt it peak there

  • @jarrodmcdonald434
    @jarrodmcdonald434 2 ปีที่แล้ว

    Rad. Thank you.

  • @taishengchen7173
    @taishengchen7173 3 ปีที่แล้ว

    Perfect!

  • @vidhanshujain2413
    @vidhanshujain2413 3 ปีที่แล้ว

    Thanku soo much

  • @izraz1
    @izraz1 10 ปีที่แล้ว

    Excellent

  • @davidroif5364
    @davidroif5364 6 ปีที่แล้ว

    There is one thing I don't understand:
    If our eyes can only react to R, G and B, and no combination of RGB can create cyan, how can we see it then? Can someone explain?

    • @chexuian440
      @chexuian440 3 ปีที่แล้ว

      Yea I was also confuse at first, but then I assume he is referring to cyan at 500 nanometers, but not as a general cyan color.

    • @markusklyver6277
      @markusklyver6277 5 หลายเดือนก่อน

      He says that no linear combination of those wavelengths can give a cyan color experience, but our cones detect a range of wavelengths and not only three.

  • @starcula
    @starcula 10 ปีที่แล้ว

    WOW AMAZING!!!!

    • @starcula
      @starcula 10 ปีที่แล้ว +1

      Thank you very much appreciate you posting this online really helped me out.... Thanks again

  • @cherma11
    @cherma11 7 ปีที่แล้ว

    wow.

  • @javianbrown8627
    @javianbrown8627 6 ปีที่แล้ว

    Light bulbs do not look while to me. Even the ones people say are white.

    • @singsingsingsong111
      @singsingsingsong111 5 ปีที่แล้ว

      Javian Brown you’re probably ‘colour blind’ as I am. Coloured filters are rubbish and if fed by a white light, will appear to not look as they’re meant too. Doctors are morons by the way:-)

  • @ilyboc
    @ilyboc 4 ปีที่แล้ว

    wow

  • @peterwiphle1860
    @peterwiphle1860 2 ปีที่แล้ว

    I thought I knew how color worked…

  • @abdulqayyum4726
    @abdulqayyum4726 4 ปีที่แล้ว +1

    Q. Lab Tech 🇵🇰🇵🇰🇵🇰🇵🇰🇵🇰 Textile Chemical Color Machine Machanical solution ❇️💢 ❇️💢 ❇️💢 ❇️

  • @Willwowlol
    @Willwowlol 11 ปีที่แล้ว

    Amazing video, thanks!