I was able to access the PDF file at this address just now:
http://lists.nongnu.org/archive/html/openexr-user/2013-09/pdfbiJS_1eVal.pdf On 09/25/2013 12:10 PM, Lucien Fostier wrote:
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
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