Stereo Depth Map Construction by Emmanuel Fuentes, Pawel Mikolajczyk, Naji Barnes-M - HTML preview
PLEASE NOTE: This is an HTML preview only and some elements such as links or page numbers may be incorrect.
Download the book in PDF, ePub, Kindle for a complete version.
Download the book in PDF, ePub, Kindle for a complete version.
Chapter 4. SIFT Alogrithm Feature Extraction Example
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.
Figure 4.1. Picture A
Taken on a DSLR Nikon D3000
Figure 4.2. 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.
Figure 4.3. Zoomed In Feature Extraction Picutre A
Features(Green) with scale and orientation
Figure 4.4. 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.
Figure 4.5. Matching Features
Black line drawn from center of corresponding features.
Solutions