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: http://siddhantahuja.wordpress.com/2010/04/11/correlation-based-similarity-measures-summary
AR see-through glasses. Built-in 1080p cam. Compass. Earphones. 4999 USD. Vuzix STAR 1200 Augmented Reality System.
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 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 […]
Just tried to do a first experiemnt using the ImageJ plugin JavaSIFT. I took nine pictures* of my house with my smartphones camera. The goal was to let JavaSIFT reigster some interest points and then to see what I can do with that (JavaSIFT has some "align images" function). Turned out that the plugin is […]