A Dual Source, Parallel Architecture for Computer Vision

被引：0
作者：
A.M. Wallace
G.J. Michaelson
N. Scaife
W.J. Austin
机构：
[1] Heriot–Watt University,Department of Computing and Electrical Engineering
来源：
The Journal of Supercomputing | 1998年 / 12卷
关键词：
parallel vision; multi-source data; cooperative processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We present a parallel architecture for object recognition and location based on concurrent processing of depth and intensity image data. Parallel algorithms for curvature computation and segmentation of depth data into planar or curved surface patches, and edge detection and segmentation of intensity data into extended linear features, are described. Using this feature data in comparison with a CAD model, objects can be located in either depth or intensity images by a parallel pose clustering algorithm.
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页码：37 / 56
页数：19
相关论文
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