tag:blogger.com,1999:blog-3996848416074637521.comments2017-09-24T03:06:43.320+05:30Mathematics for Computer Graphics & Image processingkrishnadevan khttps://plus.google.com/104316880981417262262noreply@blogger.comBlogger122125tag:blogger.com,1999:blog-3996848416074637521.post-60640067787772060072016-11-05T22:47:24.641+05:302016-11-05T22:47:24.641+05:30Hi ,
I have been going through this post and am t...Hi , <br />I have been going through this post and am trying same thing in my code as well , but do to some weird error , I am not getting result anywhere near it , could you help me out with this , if yes .<br /><br />My email id is karangoel16@yahoo.com<br />karan goelhttps://www.blogger.com/profile/06612561925495201879noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-83845760262720584772015-11-09T12:37:29.372+05:302015-11-09T12:37:29.372+05:30me too (hi....can you give me the source code of c...me too (hi....can you give me the source code of color image segmentation using Meanshift algorithm plz... i really need it)<br /><br />plz<br /><br /><br /><br />Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-59496388974199595202014-04-27T20:33:23.513+05:302014-04-27T20:33:23.513+05:30Hi
can you please send me Matlab code that do this...Hi<br />can you please send me Matlab code that do this for you?? or place it somewhere so we have access to it?.<br />thanksMostafa jahanihttps://www.blogger.com/profile/02627297410325552347noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-48952921724464015552013-09-09T17:09:06.889+05:302013-09-09T17:09:06.889+05:30About point 2) I finally realized that the derivat...About point 2) I finally realized that the derivative operator used in this case is the *Wirtinger derivative*. Under the assumption that the Wirtinger derivative is used, then your proof stands correct as it is.Donovannoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-79636459824150913852013-09-03T19:57:12.122+05:302013-09-03T19:57:12.122+05:30Hello! Thanks for the informative post. Just a few...Hello! Thanks for the informative post. Just a few remarks:<br /><br />1) when you say "Lets assume noise and input signal has no relation, That why it is noise." you make it sound as if it is realistic to always have signal and noise that are uncorrelated, while in real scenarios this is typically an approximation; especially in camera sensors where noise is signal-dependent.<br /><br />2) The result of your derivation is correct but the proof, in its current state, is not valid because it contains a wrong argumentation: "...careful about G* ,it is not G. So we can treat that as constant...". That is false, and by "coincidence"(?) the Wikipedia entry on Wiener deconvolution contains the same mistake. The complex-conjugate of a variable w.r.t. which you are differentiating cannot be treated as a constant, simply because it is not! Even worse, the derivative of D[GG*] is not defined.<br /><br />I believe (but I am not sure!) that a possibly correct statement would be that G*(f)=G(-f) under certain assumptions, namely when the convolution kernel is real-valued. In such a case you can treat that G*(f)=G(-f) "as a constant".<br /><br />Please, if you find a way to minimize that functional without resorting to the assumption of real-valued convolution kernel write it in your blog! I (and surely other readers) would be interested in that.Donovannoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-79324215876536501232013-05-27T06:24:15.230+05:302013-05-27T06:24:15.230+05:30Hi. I have problem with this. would you mind to sh...Hi. I have problem with this. would you mind to share your code? here is my email: 910mala@gmail.com<br />thanks in advanceMala Irdinahttps://www.blogger.com/profile/11634686510243082486noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-8841727361057628472013-04-27T17:00:20.345+05:302013-04-27T17:00:20.345+05:30hi....can you give me the source code of color ima...hi....can you give me the source code of color image segmentation using Meanshift algorithm plz...<br />i really need it<br /><br />juvaria tahseenhttps://www.blogger.com/profile/00598966097377713551noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-7686568663033739412013-03-25T17:17:21.279+05:302013-03-25T17:17:21.279+05:30Greаt site you have got here.. It's difficult ...Greаt site you have got here.. It's difficult to find excellent writing like yours nowadays. I truly appreciate people like you! Take care!!<br /><br />Here is my page <a href="http://bakeek.com/net/blogs/user/JessmiozbG" rel="nofollow">just click for source</a>Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-67253794265517495692013-03-01T12:43:45.327+05:302013-03-01T12:43:45.327+05:30I suggest to you to invest more time with Python a...I suggest to you to invest more time with Python and PIL which can help you to explain the algorithms better. Please format the code well.Sarath Chttps://www.blogger.com/profile/12811518880609933968noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-61066414035361581942013-01-08T10:28:25.186+05:302013-01-08T10:28:25.186+05:30Hi,
Nice result !
Plz send me the source code.
My...Hi,<br /><br />Nice result !<br />Plz send me the source code.<br />My mail id is savitha_dk@yahoo.com<br /><br />With thanks,<br />savithasavithanoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-78174198556171083102012-12-18T11:17:32.898+05:302012-12-18T11:17:32.898+05:30Working because if it is inline, right?Working because if it is inline, right?അഖില്https://www.blogger.com/profile/11190586749767057146noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-60522606854429606762012-11-06T03:32:20.615+05:302012-11-06T03:32:20.615+05:30Hi admin, I'm also interested in this. (Take a...Hi admin, I'm also interested in this. (Take a look at the latest post on my site for details.) This was a really interesting read, you have definitely given me some food for thought! Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-54915944894430038222012-10-27T19:34:12.470+05:302012-10-27T19:34:12.470+05:30Pretty section of content. I just stumbled upon yo...Pretty section of content. I just stumbled upon your blog <br />and in accession capital to assert that I acquire in fact enjoyed account your blog posts.<br />Any way I'll be subscribing to your feeds and even I achievement you access consistently rapidly.<br /><i>Have a look at my blog</i> ; <b><a href="http://www.bramptonrealestateagents.sitew.com/" rel="nofollow">more info</a></b>Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-32018735852462313212012-10-24T13:21:13.871+05:302012-10-24T13:21:13.871+05:30Nice work Krishna :)Nice work Krishna :)Dhananhttps://www.blogger.com/profile/18058579226070714230noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-12849589113192388382012-10-15T15:06:43.627+05:302012-10-15T15:06:43.627+05:30Hi Dadi Elaasri,
Sorry, I Didn't see your rep...Hi Dadi Elaasri,<br /><br />Sorry, I Didn't see your reply.<br />Right now i am very busy.May be i can send you some papers which uses PCA to face detection. Other suggestion is try to create the eignen vectors using Matlab or Mathematica like tools. Most probably there is a chance of occuring error in that part.<br />krishnadevan khttps://www.blogger.com/profile/03784579986960576423noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-73223548436027913302012-10-02T00:44:31.543+05:302012-10-02T00:44:31.543+05:30helphelpDadi Elaasrihttps://www.blogger.com/profile/09182438233705238765noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-30472231746376509452012-09-25T20:57:06.547+05:302012-09-25T20:57:06.547+05:30Hi krishnadevan, thank you for responding me , i t...Hi krishnadevan, thank you for responding me , i tried to use pca for deteceting a face in camera but it dosent work possibly for the reasons that you mentioned befor, but i tried to detect a face in image but it dosent work too, maybe i have some problem with calculating the distance between the mean adjusted input image and its projection to calissify this input image as a face or no , can you please help me with your code , im in surious trouble, here is my email : dadi.elaasri@gmail.com, i can send you my code to see if i made a mistake there if you dont mind. Thank you so muchAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-78013042460818779652012-09-08T18:51:57.817+05:302012-09-08T18:51:57.817+05:30Just a note on exceptional cases.
If v1 and v2 are...Just a note on exceptional cases.<br />If v1 and v2 are parallel, you have axis = (0,0,0) and angle = 0.<br />You must make sure that your Quaternion class handles this; it can just ignore the 0 vector and return an identity quaternion [1 0 0 0].<br />If you just assign the quaternion components this way:<br /> q[0] = cos(angle/2);<br /> q[1:3] = axis.normalize() * sin(angle/2);<br />you will end up with the null quaternion [0 0 0 0], which will nullify any vector you multiply by it (the null quaternion hasn't unit magnitude, so you can't use it for rotations).<br /><br />Another case is when v1 and v2 are antiparallel: you have axis = (0,0,0) and angle = pi.<br />You must handle this case, by selecting one of the infinite number of axes that are perpendicular to v1 (and to v2, of course). You must handle this explicitly, since the Quaternion class would have no way to know which axis is correct.<br />You can do it this way:<br /> if(fabs(from.dot(vector(1,0,0))) < 0.707){<br /> //not close to x axis, it will do<br /> axis = from.cross(vector(1,0,0)).normalize();<br /> }else{<br /> //too close to x axis, use another one<br /> axis = from.cross(vector(0,1,0)).normalize();<br /> }<br /><br />The angle, instead, is always correct as it is calculated now, by angle=acos(from.dot(to)), and it is always in [0,pi].Stefanonoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-50699374170133884882012-07-11T18:47:30.112+05:302012-07-11T18:47:30.112+05:30Hi Dadi Elaasri,
First of i want to say is this : ...Hi Dadi Elaasri,<br />First of i want to say is this : PCA is only a basic method for detecting faces. it is not invariant to scale or rotation. It is good that you know it. But i don't think you can use it for some real detecting purposes which contains a lot of variances..krishnadevan khttps://www.blogger.com/profile/03784579986960576423noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-73515878811137555862012-07-10T01:08:51.683+05:302012-07-10T01:08:51.683+05:30Hi, i'm tryinto to implement PCA for face dete...Hi, i'm tryinto to implement PCA for face detection and recognition but i have some problems with detecting faces in images or from camera, would you please help meDadi Elaasrihttps://www.blogger.com/profile/09182438233705238765noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-6827450618500539312012-05-15T12:41:07.129+05:302012-05-15T12:41:07.129+05:30I would also like to see your source code.
My mail...I would also like to see your source code.<br />My mail is: ribbstolen@gmail.com<br /><br />I would really appreciate it. You have my eternal gratitude<br /><br />Thank youChristofferhttps://www.blogger.com/profile/00927502004663424279noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-74883683462768635062012-05-02T20:22:41.388+05:302012-05-02T20:22:41.388+05:30Great post, Could u send me the code please? waiti...Great post, Could u send me the code please? waiting for ur help<br /><br />eng.hossam.semsem@gmail.comHossam Gharebhttps://www.blogger.com/profile/09162954179551649745noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-47023510872714520632012-05-02T20:21:33.572+05:302012-05-02T20:21:33.572+05:30Hello, please i need the src code please, Could u ...Hello, please i need the src code please, Could u help me?Hossam Gharebhttps://www.blogger.com/profile/09162954179551649745noreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-38195924619543684492012-04-21T07:40:22.000+05:302012-04-21T07:40:22.000+05:30Very Good Artical.By Shoban.Very Good Artical.<br>By Shoban.Shobannoreply@blogger.comtag:blogger.com,1999:blog-3996848416074637521.post-72696076645061842202012-04-18T21:54:24.607+05:302012-04-18T21:54:24.607+05:30hi
can you share the source?hi<br /><br />can you share the source?Anonymousnoreply@blogger.com