Function Point Analysis (FPA) is a well-known method to measure the functionality of a system, from the user’s point of view. Both Albrecht’s original model and a local varian...
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Registration (or alignment) of the synthetic imagery with the real world is crucial in augmented reality (AR) systems. The data from user-input devices, tracking devices, and imag...
Testing of concurrent programs is much more difficult than that of sequential programs. A concurrent program behaves nondeterministically, that is, the program may produce differe...
A novel approach to the computation of an approximate estimate of spatial object pose from camera images is proposed. The method is based on a neural network that generates pose hy...