자기조직 신경 회로망을 이용한 스테레오 비젼 시스템의 대응문제 해결에 관한 연구A Study on Correspondence Problem of Stereo Vision System using Self-Organized Neural Network

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In this study, self-organized neural network is used to solve the correspondence problem of the axial stereo image. Edge points are extracted from a pair of stereo images and then the edge points of rear image are assined to the output nodes of neural network. In the matching process, the two input nodes of neural networks are supplied with the coordinates of the edge point selected randomly from the front image. This input data activate optimaal output node and its neighbor nodes whose coordinates are thought to be correspondence point for the present input data, and then their weights are allowed to updated. After several iterations of updating, the weight whose coordinates represent rear edge point are converged to the coordinates of the correspondence points in the front image. Because of the feature map properties of self-organized neural network, noise-free and smoothed depth data can be achieved.
Publisher
Korean Society for Precision Engineering
Issue Date
1993-11
Keywords

스테레오 비전; 대응문제; 자기조직 신경회로망; 에지추출; 3차원 정보추출

Citation

Journal of the Korean Society for Precision Engineering, Vol.10, No.4

URI
http://hdl.handle.net/10203/24363
Appears in Collection
ME-Journal Papers(저널논문)

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