A simple crossover image provides depth
A simple crossover image provides depth
Use the crossover technique to view in 3D. View in landscape with image filling your phone screen. Haze at centre of image with eyes relaxed until you see three images - focus on the middle image and slowly move the phone away u til this comes into sharp focus.
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Re: A simple crossover image provides depth
Hi Tom,
It definitely works. This is made using the Stereo 3D module, I take it? What settings did you use?
It appears to me that depth is mostly mapped to brightness. While this will indeed give a rudimentary 3D image, it would be perhaps be useful to try to use more of the other parameters available to you, in order to get a more plausible result. The purpose of the Stereo 3D model is to get you to think about these objects in 3D. Basic brightness-to-depth mapping is a little counter productive, as the results will almost always be less plausible than more sophisticated mapping.
The documentation gives a number of pointers on how features will (more) likely appear when depth is taken into account;
It definitely works. This is made using the Stereo 3D module, I take it? What settings did you use?
It appears to me that depth is mostly mapped to brightness. While this will indeed give a rudimentary 3D image, it would be perhaps be useful to try to use more of the other parameters available to you, in order to get a more plausible result. The purpose of the Stereo 3D model is to get you to think about these objects in 3D. Basic brightness-to-depth mapping is a little counter productive, as the results will almost always be less plausible than more sophisticated mapping.
The documentation gives a number of pointers on how features will (more) likely appear when depth is taken into account;
Hope that helps!Modelling and synthesizing depth information for astrophotography
The depth information generated by the Stereo 3D module is entirely synthetic and should not be ascribed any scientific accuracy. However, the modelling performed by the module is based on a number of assumptions that tend to hold true for many Deep Space Objects and can hence be used for making educated guesses about objects. Fundamentally, these assumptions are;
- Dark detail is visible by virtue of a brighter background. Dust clouds and Bok globules are good examples of matter obstructing other matter and hence being in the foreground of the matter they are obstructing.
- Brighter areas (for example due to emissions or reflection nebulosity) correlate well with voluminous areas.
- Bright objects within brighter areas tend to drive the (bright) emissions in their immediate neighborhoods. Therefore these objects should preferably be shown as embedded within these bright areas.
- Bright objects (such as bright blue O and B-class stars), drive emissions in their immediate neighborhood and tend to generate cavities due to radiation pressure.
- Stark edges such as shockfronts tend to speed away from their origin. Therefore these objects should perferably be shown as veering off.
Ivo Jager
StarTools creator and astronomy enthusiast
StarTools creator and astronomy enthusiast