The distance-metrics tag has no wiki summary.
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40 views
What distance metric can I use for comparing image features in a nearest neighbour algorithm?
I use Nearest Neighbour function of Scikit learn module in python for training and compare an image set (https://docs.google.com/file/d/0B6zJ3_hrkW40U182SWNWX3o4dE0/edit?usp=sharing&pli=1)
By ...
4
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0answers
46 views
What is a good distance measure for matching SIFT descriptors depending on the distribution of their noise?
I have read some papers about distance measures like Euclidean, Manhattan or Chi-Square for matching gradient based image descriptors like those computed from the SIFT Algorithm (128-D vectors). Most ...
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1answer
41 views
Combining Distance Maps
I have two distance maps that describe distances from blue segment and the red segment. I need to compute a single weight map that describes transition from blue segment to the red segment. The weight ...
0
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1answer
933 views
Measuring with OpenCV and OpenNI
I'm playing with the built in OpenNI access within OpenCV 2.4.0 and I'm trying to measure the distance between two points in the depth map. I've tried this so far:
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7
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2answers
238 views
Good metric for qualitatively comparing image patches
I am trying to "match" little square patches in an image. At first glance, it seems reasonable to simply do a Euclidean distance style comparison of two of these arrays to get a "similarity" measure. ...
7
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2answers
100 views
Black box signal prediction
I have a stateful black box with four real-valued inputs and one real-valued output. My problem is to predict the output at each moment in time, given the sequence of inputs seen up to that point. ...
2
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1answer
134 views
Are there any good “conceptual distances” for comparing two images?
I want to define some distances to use over an image, which I create.
I think I need to define two different "distances".
The first distance should be the most robustness preserving in compare to ...
11
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1answer
350 views
What distance metric can I use for comparing images?
I usually use the mean squared error (MSE) or peak signal-to-noise ratio (PSNR) to compare two images, but this isn't good enough. I need to find a formula that returns a very big distance between an ...
