A survey of sensor planning in computer vision

A survey of research in the area of vision sensor planning is presented. The problem can be summarized as follows: given information about the environment as well as information about the task that the vision system is to accomplish, develop strategies to automatically determine sensor parameter val...

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Bibliographic Details
Published in:IEEE transactions on robotics and automation 1995-02, Vol.11 (1), p.86-104
Main Authors: Tarabanis, K.A., Allen, P.K., Tsai, R.Y.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Computer vision
Computers
Exact sciences and technology
Image reconstruction
Layout
Machine vision
Object detection
Object recognition
Optical sensors
Pattern recognition. Digital image processing. Computational geometry
Robots
Robustness
Sensor phenomena and characterization
Sensor systems
Sensors
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Summary:A survey of research in the area of vision sensor planning is presented. The problem can be summarized as follows: given information about the environment as well as information about the task that the vision system is to accomplish, develop strategies to automatically determine sensor parameter values that achieve this task with a certain degree of satisfaction. With such strategies, sensor parameters values can be selected and can be purposefully changed in order to effectively perform the task at hand. The focus here is on vision sensor planning for the task of robustly detecting object features. For this task, camera and illumination parameters such as position, orientation, and optical settings are determined so that object features are, for example, visible, in focus, within the sensor field of view, magnified as required, and imaged with sufficient contrast. References to, and a brief description of, representative sensing strategies for the tasks of object recognition and scene reconstruction are also presented. For these tasks, sensor configurations are sought that will prove most useful when trying to identify an object or reconstruct a scene.< >
ISSN:1042-296X
2374-958X
DOI:10.1109/70.345940