In this work, we propose a method for recognizing objects using the cross correlation of sampled boundary dis- tance (CCSBD) with experimental results. It ...
Abstract: An approach to object recognition using cross correlation (CC) is presented. The CC utilizes samples of distances defined from a major axis to points ...
An approach to object recognition using cross correlation (CC) is presented. The CC utilizes samples of distances defined from a major axis to points ...
Cross Correlation of Sampled Boundary Distances - An Application to Object Recognition · David T. WangC. WeiShy-Shyan ChenB. SungT. ShiauP. Ng. Computer ...
Cross Correlation of Sampled Boundary Distances - An Application to Object Recognition. ... How does dblp detect coauthor communities? 1 · 1 · Shy-Shyan Chen.
Cross correlation of sampled boundary distances-an approach to object recognition · Conference Paper. May 1990. ·. 10 Reads. ·. 2 Citations. D.T. Wang. ·. C.-S.
In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other.
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In general, correlation measures the similarity between two signals. Using correlation for detection has significant applications. For instance, it allows.
Session 3C: Objects Recognition. Chair: R.Moll ... Cross Correlation of Sampled Boundary Distances - An Application to Object Recognition .
Jan 1, 2014 · Copula based likelihood function helps to overcome the linearity requirement between cross-correlation and radial distance as imposed in [8]–[10] ...