Is there anyway of segmenting objects based on how far they are from the viewer?
Can color values assess this sort of a thing for us? How will intensity levels help in determining how far the object is from the viewer?
Another image:
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3This is not segmentation, it's 3D reconstruction. Do you have other images that capture the scene from a different view or under different lighting conditions? – Emre Apr 14 '12 at 23:08
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i have provided another image with a different angle – vini Apr 16 '12 at 11:10
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Now you can follow http://en.wikipedia.org/wiki/3D_reconstruction_from_multiple_images – Emre Apr 16 '12 at 18:05
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This is an extremely difficult task, one which is a very active line of research. I've managed to find a semi-recent paper on the subject entitled " 3-D Depth Reconstruction from a Single Still Image". I won't go into the details, but here's a few things that this paper found that can be used.
- Textures: If you see a given texture, they can help you figure out how far something is away. The wood texture here would be quite ideal for this.
- Fixed object sizes: Identify common objects, see how large they are, and use them to help with depth analysis. The phone book, soda bottle, etc should work well with this.
- Focus: If you know how the picture was take, focus can help you identify ranges.
- Shadows- If you know where the light was coming from, shadows can help you identify how tall objects are, and thus how far they are away.
PearsonArtPhoto
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Thanks for that reference yup will look into that however what more methods could be considered while approaching this problem – vini Apr 11 '12 at 14:04
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Most 3D techniques are found in research papers could i found codes related to these topics? – vini Apr 13 '12 at 08:09
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3@vini Cornell has a research page with depth estimation from a single image and shares code. – Maurits Apr 14 '12 at 20:53
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See this code from matlab website: "Depth from gradient":
http://www.mathworks.com/matlabcentral/fileexchange/45269-dfgbox
Osman
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