Dear Martin,

I agree that elaborating the Dimension - Visual Item question, view directions 
and sections of physical features defined by view focus would be an interesting 
issue. 

It is a question of perspective. 

https://www.youtube.com/watch?v=keW4QqRGVN4

Regards,

Øyvind

> Am 27.10.2021 um 19:21 schrieb Martin Doerr via Crm-sig 
> <crm-sig@ics.forth.gr>:
> 
> Dear Florian,
> 
> Nice Problem! Actually I do not regard it a Simulation, because it does not 
> introduce theories to extrapolate into the future or to fit to observational 
> data for theory testing. I think it is simply data Evaluation, which results 
> in an estimate for a place. I'd regard the calculated viewpoint as a 
> declarative E53 Place P168 defined by : the calculated value,  which P189 
> approximates the phenomenal place of the image taking activity. The direction 
> of taking an image is not modeled in the CRM yet as well as some other 
> parameters of observations.
> 
> In my opinion, the image itself can be seen as a measurement of optical 
> qualities of a section of a physical feature, the surface of earth, or an 
> observation in the case of painting. Both would "P138 represent" this 
> section. In CRMdig, we took digital photos as a kind of composite Dimension, 
> because it provides quantitative light emission data, but we did not 
> consolidate this with taking the image as a Visual Item, a kind of 
> Information Object. This is not a contradiction.
> Both, the painting and the photo can represent identifiable details and 
> landmarks that allow for matching them with reality, or an assumed common 
> reality.
> 
> So far, a quick thought. I think, a nice issue, to elaborate the Dimension - 
> Visula Item question, view directions and sections of physical features 
> defined by view focus.
> 
> Best,
> 
> Martin
> 
> On 10/26/2021 10:58 PM, Øyvind Eide via Crm-sig wrote:
>> 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
>>> 
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>> 
>> 
>> 
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> 
> -- 
> ------------------------------------
>  Dr. Martin Doerr
>               
>  Honorary Head of the                                                         
>           
>  Center for Cultural Informatics
>  
>  Information Systems Laboratory  
>  Institute of Computer Science             
>  Foundation for Research and Technology - Hellas (FORTH)   
>                   
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>  
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