If a picture contained plastic, cloth, metal etc. how can one train the computer to segment out materials of the same type. Please add if any other method can be used as a starting point for the problem.
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Material recognition is an active research area in computer vision. Google "material recognition computer vision" for a list of recent papers.
Dima
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I think you have a semantic issue to solve first.
- Where does plastic that is painted with a metallic paint sit?
- What about a plastic that is textured to look like cloth?
- What about fabric that is woven metal fibre?
Rather than describe by material, you need to start defining by visual properties like reflectivity, surface texture etc
david sinfield
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like in a picture of a garbage dump – susheel Sep 15 '15 at 18:37
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or just a sheet of metal, plastic bottle placed in the side and cloth laying on the other side. – susheel Sep 15 '15 at 18:38
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This should be a comment, not an answer. – Prune Sep 15 '15 at 19:46
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I disagree. The first part of an answer is to help state the problem. – david sinfield Sep 16 '15 at 11:20
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It an evolving area . I would suggest you to read some papers. You can use google or Google Scholar for that.Use http://bfy.tw/220q
Few approaches are :
- Using Bayesian Framework
- SVM
- Neural Networks
Rushikesh Tade
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