III. Machine Vision and its Architecture
نویسندگان
چکیده
منابع مشابه
Design of a Machine Learning Architecture for Hierarchical Vision Systems
In this report, we describe a machine learning architecture for hierarchical vision systems. These vision systems work by successively grouping visual constructs at one level, selecting the most promising, and passing them up to higher levels of processing. This continues from the pixel-level of the image to the object-model level. Traditionally, researchers have used static heuristics at each ...
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The Fifteenth IAPR International Conference on Machine Vision Applications will be held at Nagoya University, Japan, from May 8 through 12, 2017. The conference is co-sponsored by the MVA Organization, IAPR, and Graduate School of Information Science, Nagoya University. In conjunction with the MVA 2017, we plan to publish the special section that consists of the papers published in the MVA 2017...
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We have been considering the architecture of the future carrier network which will be the successor to Next Generation Network (NGN). Our assessments have clarified the key problems that will arise in the era when NGN has matured. Based on our studies, we define the vision and the architecture that can solve these problems. This paper provides a snapshot of our work in order to contribute to re...
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Abstract A method is developed to track planar and nearplanar objects by incorporating a model of the expected image template distortion, and fitting the sampling region to pre-trained examples with general regression. The approach does not assume a particular form of the underlying space, allows a natural handling of occluding objects, and permits dynamic changes of the scale and size of the s...
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ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 1992
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss1987.112.2_58