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An example of the characteristics and abilities of feature matching, using SIFT.

Feature extraction

Application of feature extraction

Two images of the same bear on a desk taken at different horitzonal positions relative to the subject were taken and anaylzeed using the SIFT algorithm implemented in Matlab with the aid of a toolbox by VLFeat.

Picture a

Taken on a DSLR Nikon D3000

Picture b

A horizontal shift from camera position in Picture A

After the SIFT algorithm has been applied corresponding features are very clear and intuitive.

Zoomed in feature extraction picutre a

Features(Green) with scale and orientation

Zoomed in feature extraction picutre b

Features(Green) with scale and orientation

It is clear that the SIFT program chooses the same features of the same scale and orientation in each image, and there is a clear match between the two images.

Matching features

Black line drawn from center of corresponding features.

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Source:  OpenStax, Stereo depth map construction. OpenStax CNX. Dec 14, 2010 Download for free at http://cnx.org/content/col11252/1.1
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