Orientation Code Matching for Robust Object Search (Special Issue on Image Recognition and Understanding)

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概要

• 論文の詳細を見る

• A new method for object search is proposed. Conventional template matching schemes tend to fail in presence of irregularities and ill-conditions like background variations, illumination fluctuations resulting from shadowing or highlighting etc. The proposed scheme is robust against such irregularities in the real world scenes since it is based on matching gradient information around each pixel, computed in the form of orientation codes, rather than the gray levels directly. A probabilistic model for robust matching is given and verified by real image data. Experimental results for real world scenes demonstrate the effectiveness of the proposed method for objects earch in the presence of different potential causes of mismatches.

• 社団法人電子情報通信学会の論文
• 2001-08-01

著者

• Ullah F

  Hokkaido Univ. Sapporo

• ULLAH Farhan

  Hokkaido University

• IGARASHI Satoru

  Hokkaido University

• Kaneko Shun'ichi

  Faculty Of Engineering Hokkaido University

関連論文

• Distance-Based Test Feature Classifiers and Its Applications
• 方向符号照合法による運動物体の追跡
• Orientation Code Matching for Robust Object Search (Special Issue on Image Recognition and Understanding)

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