We present herein a classificationof regions from an image which is based on textural measurements.It aims to distinguish groups of regions having the sameclass among a pre-establ...
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
This paper presents a method for measuringthe entire three dimensional (3D) shape of object, which is applicable for 3D digitizing into a solid modeling CAD. The method measures t...
This paper introduces a new method to extract and classify the meaningful information from documents automatically. The basic idea in our method is to utilize the spatial and geom...
Multiresolution pyramid techniques can improve the efficiency of basic vision algorithms by orders of magnitude. They will be key to developing practical vision systems to perform...
A new handwriting model is proposed for simulating complex handwriting variation in obedience to individual handwriting tendencies. Individual handwriting t,endency is represented...
Modeling and recognition of 3D objects by surface is an important problem in machine vision. Given a large number of range data points of an object surface, we present a relaxatio...
Chang Y. Choo, Nasser M. Nasrabadi, William I. Kwa...
In this paper, we describe a commercial vision system for the digitisation and extraction of horizons drawn with coloured pencils on seismic sections. The system combines image pr...
The photometric sampling method [4] extracts shape and reflectance properties of surfaces (Lambertian,specular,and hybrid)by using multipleillunrinationdirectionsand asingle viewi...