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The goal of computer vision is an automatic extraction of information out of images. It includes methods for acquiring, processing, analyzing, and understanding images and high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner.

2 votes

Public training data for vehicle detectors in computer vision?

You typically use the same data set (or, rather, parts of it) for training and testing. I. e. you split the data set into a training set and a test set. A common technique for evaluating classifiers i …
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2 votes

How can I improve ZED Camera precision?

For improved precision try calibrating the camera with the Stereo Camera Calibrator app in MATLAB. As far as the memory taken up by the point cloud, that really depends on how many points you have. Y …
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  • 191
2 votes

Perspective n Point - RPnP algorithm

Since you only have 4 points, you should use the P3P algorithm. 3 points give you up to 4 solutions, and you need a fourth point to decide which one is correct. So 4 is the minimum number of points yo …
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2 votes

how to plot a line between two centroids in matlab

Have you tried the line() function, which plots a straight line on a figure? You do something like imshow(myImage); hold on line(X, Y); Check help line for details.
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