tag:blogger.com,1999:blog-6950833531562942289.post7591560397995875615..comments2024-03-25T03:36:48.099-07:00Comments on C0DE517E: Mathematica and Skin RenderingDEADC0DEhttp://www.blogger.com/profile/01477408942876127202noreply@blogger.comBlogger8125tag:blogger.com,1999:blog-6950833531562942289.post-11562109224775083022014-10-12T10:12:52.471-07:002014-10-12T10:12:52.471-07:00I've recreated the Mathematica notebook from s...I've recreated the <a href="http://dl.dropboxusercontent.com/u/71674067/PSS_fitting/comparision.png" rel="nofollow">Mathematica notebook</a> from scribd document since dropbox link was broken.<br /><a href="http://dl.dropboxusercontent.com/u/71674067/PSS_fitting/PennersPSS_costheta_r.nb" rel="nofollow">Here's a comparision for my results</a>. Top is reference integration, bottom is the fitted function. As you can see there's a noticable difference, but it's already quite good.<br />Hopefully I didn't screw anything when rewriting.<br /><br />ps.: forget my previous comment.Anonymoushttps://www.blogger.com/profile/17063779213485777863noreply@blogger.comtag:blogger.com,1999:blog-6950833531562942289.post-23483193111254230962014-10-12T08:32:18.816-07:002014-10-12T08:32:18.816-07:00This comment has been removed by the author.Anonymoushttps://www.blogger.com/profile/17063779213485777863noreply@blogger.comtag:blogger.com,1999:blog-6950833531562942289.post-11545491367247819432011-09-14T13:12:01.251-07:002011-09-14T13:12:01.251-07:00Here it is -> http://dl.dropbox.com/u/6809780/E...Here it is -> http://dl.dropbox.com/u/6809780/EricPenner_SkinScattering1.nbDEADC0DEhttps://www.blogger.com/profile/01477408942876127202noreply@blogger.comtag:blogger.com,1999:blog-6950833531562942289.post-15365480316144429732011-09-12T11:56:55.154-07:002011-09-12T11:56:55.154-07:00Awesome stuff! I'll try to get this going some...Awesome stuff! I'll try to get this going sometime to check it out in more detail. It would be great to generate some 2D images for comparison. On a related note, I also like John Hable's discussion of error metrics:<br />http://filmicgames.com/archives/586Eric Pennerhttp://www.ericpenner.net/portfolionoreply@blogger.comtag:blogger.com,1999:blog-6950833531562942289.post-90685339917808980682011-09-11T17:01:07.674-07:002011-09-11T17:01:07.674-07:00I will put it on a dropbox public link when I go b...I will put it on a dropbox public link when I go back to work, but the snippets I've pasted on the article should work and be a good starting point. There is something more in the PDF than in the blog but it's minor, cutting and pasting the various snippets into cells of a Mathematica notebook should llgive you 80% of the code.DEADC0DEhttps://www.blogger.com/profile/01477408942876127202noreply@blogger.comtag:blogger.com,1999:blog-6950833531562942289.post-4253805758992788822011-09-09T12:04:39.776-07:002011-09-09T12:04:39.776-07:00Great post - I've been doing a fair bit of fit...Great post - I've been doing a fair bit of fitting in Mathematica recently, but using a more manual approach. Any chance of posting the workbook so it could be viewed in Wolfram's free CDF viewer (http://www.wolfram.com/cdf-player/) and/or in Mathematica (for people who have it)?Naty Hoffmanhttp://www.realtimerendering.com/blog/noreply@blogger.comtag:blogger.com,1999:blog-6950833531562942289.post-48522636067728533452011-09-08T21:12:59.744-07:002011-09-08T21:12:59.744-07:00Indeed, the fitting could be done in many differen...Indeed, the fitting could be done in many different packages. I love Mathematica all-around, it's a very nice functional language with great visualization tools, but for this SciLab could have done the job. SciLab/Matlab/Octave are really horrible languages thoughDEADC0DEhttps://www.blogger.com/profile/01477408942876127202noreply@blogger.comtag:blogger.com,1999:blog-6950833531562942289.post-65574210299815692532011-09-08T20:29:42.915-07:002011-09-08T20:29:42.915-07:00Very nice. I was going to try the same thing when ...Very nice. I was going to try the same thing when I got around to implementing this technique, but you've saved me some work. :)<br /><br />My preferred tool for curve fitting and other numerical analysis is python(x,y), which is a really nice package, and free (Mathematica's home version is just too expensive for me to justify). People familiar with Matlab will be right at home, and you don't have to learn a new language (assuming you already know python). Here's a link (the main site seems to be down):<br /><br />https://code.google.com/p/pythonxy/<br /><br />Thanks,<br />-jazJasmin Patryhttps://www.blogger.com/profile/14995594956039481147noreply@blogger.com