Maurits
  • Member for 10 years, 3 months
  • Last seen more than 1 year ago
What algorithm does Google use for its "Search By Image" site?
22 votes

In addition to the answer of penelope, there are two approaches, perceptual hashing and the bag-of-words model whose basic functionality is easily implemented and are therefor nice to play with or to ...

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Good features / algorithms for recognizing car-models in images
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7 votes

I would have a look at the so called "bag of words" or "visual words" approach. It is increasingly used for image categorization and identification. This algorithm usually starts by detecting robust ...

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how can i perform a registration to 2D images using ''rigid " transformation in matlab?
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6 votes

A rigid, or isometrie transformation, is a transformation in which the distances between the points that are transformed, are preserved. This means that an object formed by these points will have the ...

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How to compute 2D displacement vector for binary image registration?
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6 votes

I am somewhat surprised that feature points don't work that well. I have had success registering shapes like yours using either Harris points, this is a corner detector, in combination with the ...

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Implementing Wavelet Transform using Equations
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3 votes

I found the Wavelets for Computer Graphics: A Primer a good introduction to the Haar wavelet and its role in image processing.

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Implementing discrete Poisson equation wtih Neumann boundary condition
2 votes

For image in painting and blending a pixel its new value is dependent on its neighboring pixels. These neighbors may or may not lie on a border. The aim is to interpolate and create smooth transitions....

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Good metric for qualitatively comparing image patches
2 votes

To start with, 2 images and 3 measurements are not exactly enough to ascertain any kind of statistical model which in terms can be used to define the optimal comparison metric. I think you could ...

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Pattern recognition and Machine Learning reference
1 votes

The most popular choices seem to be Machine Learning: a Probabilistic Perspective by Murphy Pattern classification by Duda et all The Elements of Statistical Learning by Hastie et all. It is free ...

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Understanding Integration Scale in Multi-Scale Harris Corner Detector
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1 votes

I think the first smoothing, by $\sigma_D$, is only done to get more stable derivatives whereas in the second step the convolution by a Gaussian with $\sigma_I$ is done to establish the 'scale-space' ...

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Object Recognition using bag of features using matlab
1 votes

The, for now free available computer vision book, by Richard Szeliski contains an excellent introduction to this algorithm. Page 612. EDIT: I answered a similar question here on DSP with some ...

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find a line go through the center mass and that line must be inside object area
1 votes

How about: Separate the foreground from the background and keep a list of indices or a logical mask from the background Convert the image to a (rho, theta) coordinate space, meaning that each pixel ...

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How to proceed for BOW creation From sift features
0 votes

There is quite a bit of research showing that neither the features nor the method to build a dictionary matter that much in comparison to later encoding and pooling layers in the architecture. Have a ...

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