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 =>