Neural Net Pattern Recognition Equation for Stereoscopic Vision

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概要

• 論文の詳細を見る

• An algorithm for stereoscopic vision was developed on the basis of recent pattern recognition equations describing a dynamic self-organizing process with competition and cooperation. The algorithm includes a potential model and a simulated annealing process, and can thus be used to simulate stereoscopic depth perception from any initial situation of binocular neurons. It has been shown that simulated annealing is very useful in allowing a disparity map to develop by overcoming the local minimum in the potential.

• 一般社団法人情報処理学会の論文
• 1998-01-15

著者

• Yoshitomi Yasunari

  Department Of Computer Science And Systems Engineering Faculty Of Engineering Miyazaki University

• KANDA TETU

  Department of Computer Science and Systems Engineering, Faculty of Engineering, Miyazaki University

• KITAZOE TETURO

  Department of Computer Science and Systems Engineering, Faculty of Engineering, Miyazaki University

• SHII TOMOHIRO

  Department of Computer Science and Systems Engineering, Faculty of Engineering, Miyazaki University

• Kanda Tetu

  Department Of Computer Science And Systems Engineering Faculty Of Engineering Miyazaki University:(p

• Shii Tomohiro

  Department Of Computer Science And Systems Engineering Faculty Of Engineering Miyazaki University

• Kitazoe Teturo

  Department Of Computer Science And Systems Engineering Faculty Of Engineering Miyazaki University

関連論文

• GENETIC ALGORITHM IN UNCERTAIN ENVIRONMENTS FOR SOLVING STOCHASTIC PROGRAMMING PROBLEM
• Neural Net Pattern Recognition Equation for Stereoscopic Vision

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