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Action observed and controlled vision system feedback loop


Computer vision architecture

1 Introduction

It is necessary to assume at the outset that no image acquisition or display is needed. Is there then any difference in the architecture of a computer vision system from a general computer? Yes? No? The answer is no, as a general-purpose computer is built only to be used to compute a wide range of tasks. It is thus only a question of how effi-ciently modern personal computer (PC) and workstation architectures can be used for computer vision tasks. The answer is yes, as for many applications it is required to put a stream of image data at a specified rate through the computer system. This requires so-called real-time computer hard- and software. Nowadays three trends are observable with respect to the platforms for computer vision applications.

Although a PC with a frame grabber and a camera can be regarded as a simple computer vision system, it generally is more than that. This can be seen by comparing computer vision systems with human or other biological vision systems. While it makes not much sense to imitate a biological system with a technical system, it is very useful to compare them on the basis of function modules as shown in Table 1.1.

1.1 Computer vision architecture 3

Visualization Passive, mainly by re- Passive and active (controlled il-
flection of light from lumination) using electromagnetic,

opaque surfaces

particulate, and acoustic radiation (Volume 1, Chapters 3 and 6)

optical sys-


(see Volume 1, Chapter 4)

Motorized apertures, filter wheels,

tunable filters


Autofocus systems based on vari-

Linear sensitivity, quantization be-


8- and 16-bits; logarith-

Scanner and robot-mounted cam-

eras (Chapter 9)

and analysis

parallel processing not in general

parallel processing

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action observed and controlled vision system feedb
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