Geovanni Martinez

Learn More
An object–based analysis–synthesis coder for coding moving images at low data rates is investigated. The coder is based on the source model of articulated three–dimensional objects. This model describes the real objects by means of model objects defined by shape, motion and color parameters. The model objects may be articulated, i.e. they consist of several(More)
Three Maximum-Likelihood thresholding algorithms based on population mixture models are investigated and a criterion is introduced for automatic selection of the most suitable Maximum-Likelihood thresholding algorithm for extracting object from their background in an arbitrary still image. The most suitable algorithm is that whose population mixture model(More)