Sum of Squared Differences

The Sum of Squared Differences (SSD) is a way of determining the correlation between two image regions. It is usually involved when motion compensation needs to be done. SSD is defined as followed: There are some variations of SSD. Like the Zero-mean Sum of Squared Differences (ZSSD): See also:

Shi-Thomasi Corners

Shi-Thomasi is a corner detection algorithm improved from Harris' corner detector. The improvement is the way how a certain region within the image is scored (and thus treated as corner or not). Where the Harris-corner detector determines the score with the eigenvalues and of two regions (the second region is a shifted version of the […]

SLAM - Simultaneous Localization And Mapping

SLAM comes from the robotics area and describes the techniques to create a map from an unknown environment. With the knowledge gathered by generating a map it is possible to determine a location and also to navigate within a certain environment. SLAM by itself is not necessarily a specific algorithm but rather an approach on […]