Multiple Shapes Extraction with Guidance to Random Sampling

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概要

• 論文の詳細を見る

• In this paper, we present a novel method that is capable of detecting multiple shapes, including: straight line, circle, ellipse, triangle, rectangle and other polygons. Multiple shapes' detection is realized via analysis of edge orientation curve, which are obtained by tracing the contours of pre-segmented image region, and recording contour pixels' orientations. A modified histogram is generated from the edge orientation curve, for initial shape guess, by two groups: line/polygon, and ellipse/ellipse arc. Based on the primary shape recognition, target objects are precisely estimated through detecting the corresponding equation's parameters.

• 社団法人電子情報通信学会の論文
• 2008-03-03

著者

• XIE Yingdi

  GITS, Waseda University

• OHYA Jun

  Faculty of GITS, Waseda University

• Ohya Jun

  Faculty Of Gits Waseda University

関連論文

• Study of extracting multiple independently moving objects and estimating the egomotion from active stereo sequences (パターン認識・メディア理解)
• A modified RANSAC based method for extracting primitive shapes from image (パターン認識・メディア理解)
• Multiple shapes extraction with guidance to random sampling (コンピュータビジョンとイメージメディア)
• 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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