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http://dx.doi.org/10.3745/KIPSTB.2006.13B.2.115

Contour-Based Partial Object Recognition Of Elliptical Objects Using Symmetry  

Cho June-Suh (한국외국어대학교 경영학과)
Publication Information
The KIPS Transactions:PartB / v.13B, no.2, 2006 , pp. 115-120 More about this Journal
Abstract
In This Paper, We Propose The Method To Reconstruct And Estimate Partially Occluded Elliptical Objects In Images From Overlapping And Cutting. We Present The Robust Method For Recognizing Partially Occluded Objects Based On Symmetry Properties, Which Is Based On The Contours Of Elliptical Objects. A Proposed Method Provides Simple Techniques To Reconstruct Occluded Regions Via A Region Copy Using The Symmetry Axis Within An Object. Based On The Estimated Parameters For Partially Occluded Objects, We Perform Object Recognition On The Classifier. Since A Proposed Method Relies On Reconstruction Of The Object Based On The Symmetry Properties Rather Than Statistical Estimates, It Has Proven To Be Remarkably Robust In Recognizing Partially Occluded Objects In The Presence Of Scale Changes, Object Pose, And Rotated Objects With Occlusion, Even Though h Proposed Method Has Minor Limitations Of Object Poses.
Keywords
Object; Image; Contour; Recognition; Symmetry;
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Times Cited By KSCI : 1  (Citation Analysis)
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