Hi Florian, your link doesnt seem to work, or is it just me?
Cheers lucien Envoyé de mon iPhone Le 25 sept. 2013 à 20:11, [email protected] a écrit : > Send Openexr-user mailing list submissions to > [email protected] > > To subscribe or unsubscribe via the World Wide Web, visit > https://lists.nongnu.org/mailman/listinfo/openexr-user > or, via email, send a message with subject or body 'help' to > [email protected] > > You can reach the person managing the list at > [email protected] > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Openexr-user digest..." > > > Today's Topics: > > 1. Interpreting Deep (Florian Kainz) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Tue, 24 Sep 2013 15:10:38 -0700 > From: Florian Kainz <[email protected]> > To: "[email protected]" <[email protected]>, > openexr-user <[email protected]> > Subject: [Openexr-user] Interpreting Deep > Message-ID: <[email protected]> > Content-Type: text/plain; charset="iso-8859-1"; Format="flowed" > > > To the more mathematically inclined OpenEXR users and developers: > > If you can spare the time, I would like you to read the attached > document and give me feedback on it. > > The IlmImf library defines the file format for deep images and it > provides convenient methods for writing deep image files. However, > the library and the existing documentation (as of September 2013) > do not explain in detail how deep images are meant to be interpreted. > > The attached document attempts to describe what the deep data in a file > mean, and how compositing of deep images works. The document also points > out numerical issues with the representation of volumetric samples, and > proposes an alternate volumetric sample representation that would address > those issues. > > I believe that agreement on the interpretation of deep OpenEXR files > is desirable because it enables compatibility among different vendors' > image compositing applications. In addition, anyone developing algorithms > such as lossy compression would be able to rely on a standardized > interpretation of a file's contents. > > Florian > -------------- next part -------------- > A non-text attachment was scrubbed... > Name: Deep Image Data 09-24-13.pdf > Type: application/pdf > Size: 892494 bytes > Desc: not available > URL: > <http://lists.nongnu.org/archive/html/openexr-user/attachments/20130924/841d4b98/attachment.pdf> > > ------------------------------ > > _______________________________________________ > Openexr-user mailing list > [email protected] > https://lists.nongnu.org/mailman/listinfo/openexr-user > > > End of Openexr-user Digest, Vol 79, Issue 2 > ******************************************* _______________________________________________ Openexr-user mailing list [email protected] https://lists.nongnu.org/mailman/listinfo/openexr-user
