|
Next
VISUAL UNDERSTANDING
The main objective of this research is investigation of
the problem of the visual understanding and the process of visual thinking.
The visual thinking is a new property of the visual systems that imitates
the human visual perception and imagery. It is assumed that visual
understanding is based on the simple categories that in shape understanding
method are called visual concepts. Shape understanding is an
interdisciplinary approach to investigate the visual understanding as a
process connected with the application of the shape categories in the
process of the visual thinking.
This research will be divided into several sections. The
sections are designed in such a way that makes it possible to carry out
research in each section independently and next outcomes of the research of
each section are adjusted to fit to general method of shape understanding.
Understanding -
Cognition-Shape
In this section shape is regarded as one of
the basic perceptual categories that is a main ingredient of cognition and
understanding.
Perception - Imagery
In this
section the shape is considered as a perceptual unit. Perception of shape
depends on visual experience and context, and was a topic of the research
of human visual perception.
Meaning
In this section shape is considered as a meaningful unit
called a phantom and is related to the meaningful object that in semiotics
is called a symbol or a sign. The visual objects that are designed to
convey meaning are often used in computer industry and modern iconic
languages.
Visual thinking
In this
section shape is considered as a basic visual category that plays a key
role in visual thinking. Shape as a visual category is represented as a
phantom concept that consists of the three conceptual elements: a visual
concept, a metalingual concept and phenomenal
concept. The visual concept is represented by a set of symbolic names given in the form of the possible classes
of shapes.
Shape
Classes
In this
section the shape is considered as a member of the shape classes and is called an archetype of this
class. The archetype is defined based on the attributes of the class model  .
The archetype of this class can be seen as an ideal realisation of the
shape in the two-dimensional Euclidean space (E2).
Interpretation - Noisy
Classes
In this
section shape is considered as the digital realization of an archetype and
is called an exemplar. The exemplar only to some extent approximates an
archetype and is described by essential and accidental features.
Processing Methods
In this section shape is
considered as a set of critical points. The set of critical points is
obtained in the process called a sensory transformation..
Visualization - shape
generation
In this
section shape is regarded as one of the properties of the perceived object.
The object can be any object in 2-D, 3-D or more than 3-D visual space. It
is assumed that each shape can be transformed into the basic perceptual
category called a phantom.
Shape Concept - Learning
In this
section shape is considered as a visual concept extracted from a visual
form called a phantom..
Shape Understanding System
(SUS) - Implementation and Testing
In this section
shape is considered as a form of the shape description to represent a
visual knowledge. The shape description is a part of the knowledge that is
distributed among the experts of the shape understanding system.
SUS-Application
In this
section shape is considered as a diagnostic indicator.
Next
|
