Dear Florian, in addition to the comments made by others, which makes a lot of sense too, I would offer the additional perspective that the resulting 3D model (with the added canvas) can be seen as a collage of the source 3D model and a digital reproduction of the photography / painting — thus as a work is the bringing together, based on certain rules and principles, of two works.
I think this adds a different perspective than some of the others mentioned. Which perspectives to focus on when modelling such processes is a pragmatic choice. All the best, Øyvind > Am 27.10.2021 um 12:18 schrieb Florian Kräutli via Crm-sig > <crm-sig@ics.forth.gr>: > > Dear Øyvind, > > Thank you very much for your input! To answer your questions: > > 1. Yes, the tool uses a 3D model of a landscape (based on Cesium: > https://cesium.com/ <https://cesium.com/>) > 2. Yes > 3. Yes. The tool positions the image in a 3D landscape so that from the > calculated viewpoint, the 2D image aligns with the 3D landscape. The tool > also outputs a glTF of what I assume is the canvas position in the coordinate > system: > https://smapshot.heig-vd.ch/api/v1/data/collections/36/gltf/204037.gltf > <https://smapshot.heig-vd.ch/api/v1/data/collections/36/gltf/204037.gltf> > (though I'm not familiar with this file format) > > I should mention that I also discussed this issue via Slack with Matteo > Lorenzini. Nicola Carboni already prepared a model to document the > perspective over a place by a person, documented as the point of observation > by an actor. We concluded that we could apply that model also in this case. > However, I would be very interested in your thoughts on how to treat it on > the level of the 3D model. That might help me to model the data closer to the > actual process of how it was obtained. > > Best wishes, > > Florian > > >> Subject: Re: [Crm-sig] Modelling a simulated view on a physical space >> Date: 26. October 2021 at 21:58:32 CEST >> To: Florian Kräutli <florian.kraeu...@uzh.ch >> <mailto:florian.kraeu...@uzh.ch>> >> Cc: crm-sig@ics.forth.gr <mailto:crm-sig@ics.forth.gr> >> >> >> Dear Florian, >> >> thank you for this interesting puzzle! >> >> Before I venture into concrete suggestions, allow me to ask some question in >> the form of assumptions you can confirm, reject, or discuss: >> >> The establishment of a hypothetical viewpoint is used to establish a >> location of the canvas. That means the following: >> >> 1. There is a 3D model of a landscape where each point (also those making up >> lines and polygons) are normal (x,y,z) coordinates in some coordinate system. >> >> 2. The hypothetical/assumed viewpoint of the photographer or the painter is >> a point in the same coordinate system. >> >> 3. Each point of the canvas (representing a painting or a photography) being >> put into the landscape is a point in the same coordinate system. Thus the >> canvas as a whole is an area in that coordinate system. >> >> If this is so, we might very well talk about something added to a >> pre-existing 3D model. If not, I would be happy to be enlightened and >> hopefully manage to dig further. >> >> All the best, >> >> Øyvind >> >>> Am 26.10.2021 um 10:28 schrieb Florian Kräutli via Crm-sig >>> <crm-sig@ics.forth.gr <mailto:crm-sig@ics.forth.gr>>: >>> >>> Dear all, >>> >>> I have a data modelling challenge I would need some advice with. >>> >>> We work with a collection of geographic depictions of Switzerland. This >>> includes photographs, paintings, prints, sketches, etc. We collaborate with >>> Smapshot <http://smapshot.heig-vd.ch/> who developed a method for aligning >>> landscape photographs with a 3D model of the physical landscape. An example >>> from our own collection can be seen here: >>> https://smapshot.heig-vd.ch/visit/204037 >>> <https://smapshot.heig-vd.ch/visit/204037> >>> >>> Using this method we can determine the possible viewpoint of a photographer >>> when taking a picture, or the viewpoint from which an artist may have >>> produced sketches of a landscape. In terms of data, we obtain the simulated >>> position and view of the photographer/artist as coordinates (lat/long), >>> altitude, azimuth, tilt, roll and focal view. >>> >>> I'm debating now how to model this obtained data in CIDOC-CRM. I would >>> suggest a S7 Simulation or Prediction for the process of using the Smapshot >>> app to determine a viewpoint of an image. This process P140 assigns an >>> attribute to a E36 Visual Item, namely that the E36 Visual Item (the image) >>> P138 Represents a view. What is this view? Can we say it is a E53 Place? Or >>> is there a more suitable entity for describing such a (simulated) view? >>> >>> One could also say that the data defines a E53 Place from which an image >>> has been created. However, while we can say this with some degree of >>> certainty for photographs, a painting of a landscape might have been >>> created using a combination of several viewpoints as well as, of course, >>> use of imagination on and off-site, so I would be hesitant to make a >>> statement about the physical location of an artist when creating a painting. >>> >>> I would be grateful for your input! >>> >>> All best, >>> >>> Florian >>> >>> _______________________________________________ >>> Crm-sig mailing list >>> Crm-sig@ics.forth.gr <mailto:Crm-sig@ics.forth.gr> >>> http://lists.ics.forth.gr/mailman/listinfo/crm-sig >>> <http://lists.ics.forth.gr/mailman/listinfo/crm-sig> >> >> >> >> _______________________________________________ >> Crm-sig mailing list >> Crm-sig@ics.forth.gr <mailto:Crm-sig@ics.forth.gr> >> http://lists.ics.forth.gr/mailman/listinfo/crm-sig > > _______________________________________________ > Crm-sig mailing list > Crm-sig@ics.forth.gr > http://lists.ics.forth.gr/mailman/listinfo/crm-sig
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