Closed. This question needs details or clarity. It is not currently accepting answers.
Want to improve this question? Add details and clarify the problem by editing this post.
Closed 9 years ago.
Improve this question
Ive been researched Information Visualization techniques application to image collections. I need some image datasets with features. Ideally, would be good find a dataset in a file representing each image attributes value,like this https://archive.ics.uci.edu/ml/datasets/Corel+Image+Features so I could project on my software, but it has been too hard to find, so I am trying to work with matlab algorithms to extract the features. So, I want some datasets.
Here you can find the ImageCLEF 2013 dataset with different features: GIST, Color Histograms, SIFT, C-SIFT, RGB-SIFT and OPPONENT-SIFT.
Related
Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 8 hours ago.
Improve this question
I would like to use the Autonomous Driving Toolbox in Matlab. But I prefer to know more abou it before I buy it. For instance, is it possible to customize some modules in the toolbox with some different algorithms than the default? For example, in the motion planning section of the toolbox, there's only one planner module provided by Matlab called "pathPlannerRRT" which implements the RRT algorithm for path planning, is it possible to create another customized planner with another or self-designed algorithm?
Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 6 years ago.
Improve this question
I surf the web for HOF implementation in matlab or openCV. Actually I wanted to know how to write their code in matlab. I learned something from the link bellow about HOG but I cannot find the same proper link for HOF or MBH. Is there any syntax for HOF in openCV?
http://www.learnopencv.com/histogram-of-oriented-gradients/
I dont know about OpenCV, but find matlab implementations here.
Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 7 years ago.
Improve this question
Basically I need to extract the identification number of marathon runners from the image. Till now I was able to get the bib part alone from the whole image. Now I need to extract the numbers from that image:
I need to extract 1430 from the image. I have tried some methods like OCR and blob detection techniques but they are not successfull for all images.
Have you tried using Stroke Width Transform (SWT)? You can find a Matlab implementation of the first stages of SWT here.
Take a look at this example in the Computer Vision System Toolbox.
Closed. This question needs details or clarity. It is not currently accepting answers.
Want to improve this question? Add details and clarify the problem by editing this post.
Closed 9 years ago.
Improve this question
My Simulink model:
Is it possible to print this graph without scope (in matlab code)?
Yes, you can save the data to the workspace using a To Workspace block and plot it after the simulation has finished using standard MATLAB code. Plenty more options in the doc under Visualize Results.
Rightklick on a Signal->Create connected viewer->Floating scope.
If you need more advanced techniques, check the documentation examples about signal logging and signal inspection.
Closed. This question needs details or clarity. It is not currently accepting answers.
Want to improve this question? Add details and clarify the problem by editing this post.
Closed 9 years ago.
Improve this question
I have tried manual detection using LS polynomial fitting here. But that cannot be used in my project as mine has to be a fully automated system.
Take a look at the Scale-Invariant Feature Transform, or SIFT. This video explains it well. You "train" a detector with one or more images of eyelids, and the detector locates similar regions in the input images. It's the de facto general purpose feature detector - although more specialized tools like face detectors are faster.
The "Scale-Invariant" part means that it can detect the same object at different sizes and rotations.