Extraction of Moving Objects through Grouping Edges along with Velocity Perpendicular to Edges (Special Issue on Neurocomputing)

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概要

• 論文の詳細を見る

• A network system is proposed for segmenting and extracting multiple moving objects in 2D images. The system uses an interconnected neural network in which grouping factors, such as edge proximity, smoothness of edge orientation, and smoothness of velocity perpendicular to an edge, are embedded. The system groups edges so that the network energy may be minimized, i.e. edges may be organized into perceptually plausible configuration. Experimental results are provided to indicate the performance and noise robustness of the system in extracting objects in synthetic images.

• 社団法人電子情報通信学会の論文
• 1994-04-25

著者

• Sugie Noboru

  School Of Engineering Nagoya University

• Yamane A

  School Of Engineering Nagoya University

• Yamane Akihiko

  School Of Engineering Nagoya University

• Ohnishi Noboru

  School of Engineering, Nagoya University

• Ohnishi Noboru

  School Of Engineering Nagoya University

関連論文

• Extraction of Moving Objects through Grouping Edges along with Velocity Perpendicular to Edges (Special Issue on Neurocomputing)
• Shape and Reflectance of a Polyhedron from Interreflections by Two-Image Photometric Stereo (Special Issue on 3D Image Processing)
• On Sorting Points along a Real Algebraic Curve

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