NDLI: A weighted least-squares approach for B-spline shape representation

Content Provider	IEEE Xplore Digital Library
Author	Yu-Cheng Hwang Tzon-Liang Shieh Leu-Shing Lan
Copyright Year	2008
Description	Author affiliation: Dept. of Electron. Eng., Nat. Yunlin Univ. of Sci. & Technol., Yunlin (Yu-Cheng Hwang; Tzon-Liang Shieh; Leu-Shing Lan)
Abstract	B-spline functions have been widely used in shape analysis and modeling for years. Conventional methods for B-spline shape representation are based on the least-squares (LS) design principle. The key disadvantage of LS approaches is its incapability to deal with corners. To reduce this effect, in this article we propose a weighted LS technique that puts more emphasis on data points with larger errors. Through this mechanism, significant reduction of peak reconstruction errors can be achieved. The weight matrix is chosen by first detecting error peaks and then assigning more weights to only those few points with extraordinarily high approximation errors. The effectiveness of the proposed approach is demonstrated through experiments on real image examples with considerably different characteristics.
Starting Page	894
Ending Page	898
File Size	568610
Page Count	5
File Format	PDF
ISBN	9781424416875
DOI	10.1109/ISCCSP.2008.4537350
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-12
Publisher Place	Malta
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Multidimensional systems Shape control Approximation error Controllability Spline Image reconstruction MPEG 4 Standard Monitoring Testing
Content Type	Text
Resource Type	Article

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