A modified RANSAC based method for extracting primitive shapes from image (パターン認識・メディア理解)

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概要

• 論文の詳細を見る

• Primitive shapes extraction in image processing, such as line and circle, is of fundamentally importance. In this paper, we propose a modified ransac based shape detection method. Through a repetitive process that randomly selecting points and validity evaluation, feature models could be successfully obtained. In the experimental results, the effectiveness of this method is demonstrated.

• 社団法人電子情報通信学会の論文
• 2007-08-27

著者

• Xie Yingdi

  Student Of Gits Waseda University

• OHYA Jun

  Faculty of GITS, Waseda University

• Ohya Jun

  Faculty Of Gits Waseda University

• XIE Yingdi

  Student of GITS, Waseda University

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• Adaptive optimization to modified Ransac based motion segmentation (画像工学)
• Independent motion areas extraction from a modified RANSAC mechanism
• A modified RANSAC based method for extracting primitive shapes from image (ヒューマン情報処理)
• Multiple Shapes Extraction with Guidance to Random Sampling
• Multiple shapes extraction with guidance to random sampling (画像工学)

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