How to display point data in a visually appealing way?

asked 2016-07-26 12:02:33 -0500

nr94 gravatar image

I have an image where I have identified a points of interest. Each point has an associated 0-100 value with it. I would like to display the data in a manner that would show trends.

A couple thoughts I have had:

  • Some kind of heatmap
  • An algorithm similar to watershed which fills at each point until another filling boundary has been reached

I haven't really been able to come up with anything using OpenCV. I know it isn't really geared towards visualization, but I am trying to make it work.

I have attached an image which I have drawn points onto to show what I am referencing, the values have been binned into three colors for simplicity. The goal is to expand each of those points into a larger visualization using the associated 0-100 value instead of point density. Are there any standard methods for this or anything I should be looking into?

pointdata

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Comments

if there is a relation between the point position / value / density, you 'll probably have to explain that to us.

berak gravatar imageberak ( 2016-07-27 02:03:35 -0500 )edit

Basically you are trying to visualise a 100 dimensional space into a visible space for users. On a conference some years ago I saw a presentation on parallell coordinates by the original author, which is ideal to find trends in high dimensional data. How about trying to create that one?

StevenPuttemans gravatar imageStevenPuttemans ( 2016-07-27 05:01:23 -0500 )edit

There is no immediate relation of value to density or position to density. I am trying to visualize a relation between value and position.

As far as parallel coordinates go, I am having trouble imagining how to retain position information. I suppose I could use distance and direction from some central point, but I don't think that is my best route.

nr94 gravatar imagenr94 ( 2016-07-27 07:43:07 -0500 )edit

Well it was only a suggestion. It is kind of a standard in computer vision when trying to visualize high dimensional data :)

StevenPuttemans gravatar imageStevenPuttemans ( 2016-07-28 03:21:35 -0500 )edit