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I want to classify the furniture in my house,like table,chair,bed..,by rgb images.
Is there a suitable features extracting algorithm about those furniture?I have extracted the features using moment invariants,but the prediction is not good.
Thanks a lot for your help!
I want to classify the furniture in my house,like table,chair,bed..,by rgb images.
It depends what exactly You want to do. First thing which comes to me is Fuzzy Logic. You can find a lot of different FL libraries in C++:
LINK: ffll.sourceforge.net/ API looks really nice and 'fast'
LINK: github.com/fuzzylite/fuzzylite Good implementation with many helpful features
Here You have some proposal:
http://www.iaeng.org/publication/WCE2012/WCE2012_pp713-718.pdf
But first of all You should get some knowledge about Fuzzy Logic, because it can be the triumph of form over substance. That is why You have to be sure what You want to do exactly.
As alternative You can just identify objects by it's contrast. RGB image to grayscale, then some gamma corrections:
https://en.wikipedia.org/wiki/Gamma_correction
...and that's it.
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I need to use an algorithm for stereo processing images (or frames – as I intend to use it for a real-time application written in C/C++) and I was thinking about: Census transform algorithm and matching cost calculation based on Mutual Information as my best options, but as far as I know, Census transform doesn’t give quite as accurate results as Mutual Information, and Mutual Information is more expensive.
Which one would be more suitable for my case?
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If possible please provide the documentation I need to get started. I need to get to the nitty gritty of things because I've gone through several languages and am ready to just start doing stuff.
In addition how exactly does one go about integrating bbcode editors into a webpage as the start of a forum site?
You won't like my answer, but you will need to watch a tutorial (or several) on Unity3D. There are a lot of concepts/tools in their software that programming won't teach you.
Once you understand the fundamentals of Unity, the answer should become clear. You will create your scene, and then place a camera that is fixed downward on the Y axis. Attach it to your Gameobject of choice and you'll get camera movement baked in (to some degree).
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I have tried blending and this seems to provide a basic glass effect but I feel there must be a better way to generate a glass or ice style effect. What would people suggest ? Is there something that can be done with semi-transparent textures ?
This is a very broad and complex question and the answer entirely depends on what kind of result (in terms of realism etc.) you are trying to get, what kind of lighting you want etc. Most of these effects, and materials in general, are the domain of shaders. A lot can be achieved with choosing the right textures with the right material parameters - again depending on what you consider an acceptable result.
GPU Gems book has a chapter on glass simulation (see 19.3.2):
GPU Gems 2 - Generic Refraction Simulation
When it comes to ice, there are again a ton of different things to consider depending on the complexity you want - see this answer here:
How to render realistic ice?
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Relatively new to C++ but I am very interested in the algorithmic aspect of programming.
Is there a general framework for deciding if an algorithm is efficient? i.e. the quickest possible?
I am trying to write pseudocode on paper before implementing but there are probably many different ways to solve any given problem.
Would be very keen to learn best practice for constructing / analysing algorithms.
Thanks, and Happy New Year!
Yes you can start with the Wikipedia article explaining the Big O notation, which in a nutshell is a way of describing the "efficiency" (upper bound of complexity) of different type of algorithms. Or you can look at an earlier answer where this is explained in simple english
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What can be Questions and Answers for Interview on job position for objects recognition and Computer vision?
Please only Qs with links to As.
Please keep being on topic (no general Qs).
I would let the interviewee describe a computer vision project she worked on: What was the problem? What approaches did she try? What did and whad didn't work? Why didn't it work? How did she measure if something worked or not?
The idea is to find out if the person in question only uses blind trial-and-error to get results, which is usually not a good strategy for complex problems. (Also, it's hard to convincingly fake this kind of knowledge ;-)