Dabarti Capture – Surface Normal Capturing Tool
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Please make the second floor..!! and if you've done it please tell me where can I find it...??!

Thanks, Allar! Good luck with your new project!

Who just carries around $250.000 worth of files on a portable hardrive without any backups.. The bug is stupid, but this guy is a moron.

Dabarti Capture - Surface Normal Capturing Tool
18 May, 2017
News
Tomasz Wyszołmirski has released Dabarti Capture, Dabarti’s in-house tool for generating Surface Normal, Albedo and Depth (displacement) maps from multiple photographs. The tool is perfect for non-reflective diffused lambertian surfaces. 
 
 
In recent months I’ve been obsessed with getting proper bump map for shading. I couldn’t get the results I hoped for with any tool available in the market so I just decided to find better way of doing it. After developing initial workflow and getting some amazing results I was bombarded with questions. This tool and workflow is the answer to those who dared to ask: “How?”.

 There are two options there. You can enjoy Lite version, free for commercial and non-commercial use. This one is limited to 1024px. Or you can support Dabarti by purchasing Pro Version which will cost you $39.

So, how does it work? Here are the steps:

  1. Capture set of photographs (minimum 3) from single point of view.
  2. Capture each shot with different light conditions. Directional light like flashlight works great.
  3. Make sure to have shiny spherical object in the shots for light calibration.
  4. Create mask for the spherical probe, call probe_mask.jpg . Check sample set that comes with installation.
  5. Process those photos with Dabarti Capture (capture.exe) to get Normal, Albedo and Depth map (displacement).
  6. Use those maps wisely by creating some kick-ass renders.
  7. Video tutorial:

Source: Dabarti
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1 Comment on "Dabarti Capture – Surface Normal Capturing Tool"

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Martin
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Martin

The results look great, how does your process differ from the Culture Heritage Imaging’s RTI software that is free?

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