Computer Vision.Dana H. Ballard.Prentice-Hall.1982[New]

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Computer Vision



Author: Dana H. Ballard

Publisher: Prentice-Hall 1982

Pages: 544

ISBN:0-13-165316-4





Preface:

The dream of intelligent automata goes back to antiquity; its first major articulation

in the context of digital computers was by Turing around I960. Since then, this

dream has been pursued primarily by workers in the field of artificial intelligence,

whose goal is to endow computers with information-processing capabilities

comparable to those of biological organisms. From the outset, one of the goals of

artificial intelligence has been to equip machines with the capability of dealing with

sensory inputs.

Computer vision is the construction of explicit, meaningful descriptions of

physical objects from images. Image understanding is very different from image

processing, which studies image-to-image transformations, not explicit description

building. Descriptions are a prerequisite for recognizing, manipulating, and

thinking about objects.

We perceive a world of coherent three-dimensional objects with many

invariant properties. Objectively, the incoming visual data do not exhibit

corresponding coherence or invariance; they contain much irrelevant or even

misleading variation. Somehow our visual system, from the retinal to cognitive

levels, understands, or imposes order on, chaotic visual input. It does so by using

intrinsic information that may reliably be extracted from the input, and also through

assumptions and knowledge that are applied at various levels in visual processing.

The challenge of computer vision is one of explicitness. Exactly what

information about scenes can be extracted from an image using only very basic

assumptions about physics and optics? Explicitly, what computations must be

performed? Then, at what stage must domain-dependent, prior knowledge about

the world be incorporated into the understanding process? How are world models

and knowledge represented and used? This book is about the representations and

mechanisms that allow image information and prior knowledge to interact in image

understanding.

Computer vision is a relatively new and fast-growing field. The first

experiments were conducted in the late 1950s, and many of the essential concepts

have been developed during the last five years. With this rapid growth, crucial ideas

have arisen in disparate areas such as artificial intelligence, psychology, computer

graphics, and image processing. Our intent is to assemble a selection of this material

in a form that will serve both as a senior/graduate-level academic text and as a

useful reference to those building vision systems. This book has a strong artificial

intelligence flavor, and we hope this will provoke thought. We believe that both the

intrinsic image information and the internal model of the world are important in

successful vision systems.

The book is organized into four parts, based on descriptions of objects at four

different levels of abstraction.

1. Generalized images—images and image-likeentities.

2. Segmented images—images organized into subimagcs that are likely to

correspond to "interesting objects."

3. Geometric structures—quantitative models of imageand world structures.

4. Relational structures—complex symbolic descriptions of image and world

structures.

The parts follow a progression of increasing abstractness. Although the four

parts are most naturally studied in succession, they are not tightly interdependent. Part

I is a prerequisite for Part II, but Parts III and IV can be read independently.

Parts of the book assume some mathematical and computing background

(calculus, linear algebra, data structures, numerical methods). However, throughout

the book mathematical rigor takes a backseat to concepts. Our intent is to transmit a set

of ideas about a new field to the widest possible audience.

In one book it is impossible to do justice to the scope and depth of prior work in

computer vision. Further, we realize that in a fast-developing field, the rapid influx of

new ideas will continue. We hope that our readers will be challenged to think, criticize,

read further, and quickly go beyond the confines of this volume.

D. H. Ballard

С. М. Brown





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Computer Vision,by Dana H. Ballard,Prentice-Hall 1982.rar



Computer Vision,by Dana H. Ballard,Prentice-Hall 1982.rar



Computer Vision,by Dana H. Ballard,Prentice-Hall 1982.rar



Computer Vision,by Dana H. Ballard,Prentice-Hall 1982.rar



Computer Vision,by Dana H. Ballard,Prentice-Hall 1982.rar



Computer Vision,by Dana H. Ballard,Prentice-Hall 1982.rar



Computer Vision,by Dana H. Ballard,Prentice-Hall 1982.rar



Computer Vision,by Dana H. Ballard,Prentice-Hall 1982.rar


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