任务(项目管理)
计算机科学
计算机视觉
人工智能
方向(向量空间)
光学(聚焦)
对象(语法)
机器视觉
视野
视觉对象识别的认知神经科学
领域(数学)
目标检测
对比度(视觉)
人机交互
模式识别(心理学)
数学
工程类
光学
物理
系统工程
纯数学
几何学
作者
Konstantinos Tarabanis,Peter K. Allen,R. Tsai
出处
期刊:IEEE Transactions on Robotics and Automation
[Institute of Electrical and Electronics Engineers]
日期:1995-01-01
卷期号:11 (1): 86-104
被引量:441
摘要
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.< >
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