Feature points or landmarks are unique points in an image that characterize the geometric layout of an
image. Landmarks are most useful because their coordinates can be directly used to determine the
parameters of a transformation that can register two images. Examples of landmark detection are given
below. Various landmark detection algorithms have been developed by Image Registration and Fusion
Systems. With these algorithms, it is possible to adjust the spacing between the landmarks and detect a
desired number of them in an image. Detected  landmarks are stable under a wide range of image
resolutions and orientations. This invariance makes it possible to detect the same landmarks in images
captured under different conditions of a scene or with different cameras.

Two  examples of landmark detection are given below. For more examples, visit the
Point Detectors page.
Fig. 1. (top) A desired number of landmarks detected in two images of the Art Museum in Washington, D.C., taken from
slightly different views. Many of the landmarks show the same physical points in the scene. (bottom) Landmarks detected in
two images of the World Trade Center, New York City. Original images of the New York City are courtesy of NASA.
To obtain a license for a landmark detector
                              software, follow this link =>

Feature-point (landmark) detector
Image Registration and Fusion Systems  
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