E-bok
PDF, Engelska, 1996359 kr
Läs direkt efter köp
Caelli Terry Michael Caelli – författare
Visar alla böcker från författaren Caelli Terry Michael Caelli. Handla med fri frakt och snabb leverans.
4 produkter
4 produkter
- E-bokPDF, Engelska, 2001
583 kr
Läs direkt efter köp
Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking, and image database retrieval.This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001). - E-bokPDF, Engelska, 1997
693 kr
Läs direkt efter köp
This book is the result of a special workshop on Spatial Computing which brought together experts in computer vision, visualization, multimedia and geographic information systems to discuss common problems and applications. The common theme of the workshop was the need to integrate human perception and domain knowledge with developing representations and solutions to problems which necessarily involve the interpretation of sensed data. The overwhelming conclusion was that these different areas of spatial computing should be communicating more than is done at present and that such workshops and publications would help this process. - E-bokPDF, Engelska, 1995
231 kr
Läs direkt efter köp
Traditional methods for image scene interpretation and understanding are based mainly on such single-threaded procedural paradigms as hypothesize-and-test or syntactic parsing. As a result, these systems are unable to carry out tasks that require concurrent hypothesis testing.This book explores a method for symbolically interpreting images based upon a parallel implementation of a network-of-frames suggested, for example, by Minsky (1975), to describe intelligent processing. The system has been implemented in an object-oriented environment in the logic programming language Parlog++ and includes the propagation of uncertainty through each frame using Baldwin''s (1986) formulation. The system is tested with several scenarios of increasing complexity, culminating with legal interpretation of traffic intersection images.
