As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.
Closed 9 years ago.
I wanted to try out machine learning algorithms on iOS - to start with say, linear regression. I was advised to use octave for the PC which would make stuff like matrix operations easier. I was wondering if I could find a library for the iOS to perform those operations.
Any suggestions welcome.
Thanks.
Edit:
To not sound vague, consider solving a linear regression problem which would involve computing transpose of a matrix, inverse of a matrix. I would be happy if I have a library with API's for it. openCV does have it but using it would be completely off context then.
I'm not sure about your exact requirement on API's. But it guess it is possible to work with OpenCV on IOS and do variety of processing.
For more information please check this link.
http://docs.opencv.org/doc/tutorials/ios/image_manipulation/image_manipulation.html
Once you have image in Mat format, i think you can carry out whole lot of operation. Also the one which you have listed.
Related
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.
Closed 10 years ago.
I know that AI is vast field and there are many algorithms which exist there.
I have tried learning from wikipedia but thats too much math stuff which i didn't understand.
Is there any place from where i can find the 7-8 lines of brief introduction on each algorithm and which can tell me that for which type of problems we can use which algorithm.
E,g something like IF we need to find some shortest route t0o some destination then we can use shortest path algorithm. Currently there are so much variery of fields like Bayesian methods , meakov chain models , optimization algorithms which i am not able to get what type of proeblems can be solved by them.
I jsut want to know what athey are capable of doi ng rather than hard core math stuff which always goes on the top of my head
aaai.org has some good introductory articles.
http://aitopics.net/AIOverview
machine learning 101: https://stackoverflow.com/questions/598726/overwhelmed-by-machine-learning-is-there-an-ml101-book/598772#598772
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.
Closed 10 years ago.
I am looking for a book where some monocular/visual SLAM is described and implemented.
Can you list and recommend some?
I'd like to use OpenCV but that is not a requirement.
I don't know of a book with a description of such an algorithm, but there's a complete open source implementation (in C++) of a vslam system available as part of the Robot Operating System. It uses SURF descriptors and vocabulary trees for place recognition, and bundle adjustment for SLAM. It does use OpenCV heavily as it's made by the same people. See the website here. I can't say for sure as they don't mention and I haven't looked in great detail, but their implementation seems to be based on, or at least is similar to, this paper.
Edit: The paper linked above was actually written by the people who implemented the vslam system given above, it appears. So it is definitely a good resource for understanding it.
I don't know about a book, but maybe PTAM can be useful. The ISMAR 2007 paper by Klein has a description about the system and the source code is available so you can check the details.
Of course, PTAM is just a (good) method in the SLAM field.
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.
Closed 10 years ago.
Can someone recommend me some good bibliographic material regarding template matching algorithms and techniques? (book, articles, matlab functions)
http://www.hoepli.it/libro/fundamentals-of-digital-image-processing/9780470844731.asp
http://oreilly.com/catalog/9780596516130
i've bought these 2 books for my thesis, template matching is well explained (especially in the first one).
i also suggest http://www.araa.asn.au/acra/acra2004/papers/cole.pdf which is a well written article (from wikipedia) and maybe check out the OpenSURF (c++ library for features extraction) paper http://www.chrisevansdev.com/computer-vision-opensurf.html
Functions for template matching in software systems:
Matlab offers normxcorr2 to perform normalized cross correlation.
Mathematica offers the function ImageCorrelate. Its third argument covers all the classical distance functions used in template matching:
http://reference.wolfram.com/mathematica/ref/ImageCorrelate.html
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.
Closed 9 years ago.
I'm trying to implement software which automatically detects nude images. Hoping to do this through openCV. What do you think of the possibility and the best algorithm that can be used? Any examples would be highly appreciated.
Depending on how accurate it needs to be you could just define a reasonable colour space that covers flesh tones, and then have some % threshold whereby if the flesh tone pixel count exceeds this % threshold then it may well be a nude image.
You may want to keep an eye on this site. This is what chatroulette uses. It targets, ahem selective nudity, but it may be related to what you're after.
There's a downloadable demo (so far, without source).
Have you considered a neural-network approach? What you're asking for sounds like a machine-learning application.
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.
Closed 11 years ago.
I am looking at The Special Effects In Picasa article.
Where can I find the following:
C/C++ or Java open source library to do it
Good books and/or articles to learn the algorithms how to do it myself
Thanks in advance for your help.
You can achieve most of the effects on that page by color manipulation (white balance) and spatial filtering.
Before you go down the path of using libraries to achieve this, I recommend playing around with image manipulation software like GIMP and trying to replicate the effects. After you're sure you know what you're doing, go ahead and try and code it up.
For libraries, have a look at opencv. There are also Java wrappers for that library if that is your language of choice (Java has its own imaging libraries as well, but I haven't used them). For books, my personal favorite is Gonzalez & Woods -- the first few chapters will get you started. For articles, Google is your friend.