Optimization Approaches in Computer Vision and Image Processing (Surveys on Image Processing Technologies : Algorithms, Sensors and Applications)

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概要

• 論文の詳細を見る

• In this paper, the authors present general views of computer vision and image processing based on optimization. Relaxation and regularization in both broad and narrow senses are used in various fields and problems of computer vision and image processing, and they are currently being combined with general-purpose optimization algorithms. The principle and case examples of relaxation and regularization are discussed; the application of optimization to shape description that is a particularly important problem in the field is described; and the use of a genetic algorithm (GA) as a method of optimization is introduced.

• 社団法人電子情報通信学会の論文
• 1999-03-25

著者

• Amano Akira

  Hiroshima City University

• Yokoya Naokazu

  Graduate School Of Information Science Nara Institute Of Science And Technology

• Sakaue Katsuhiko

  Electrotechnical laboratory

• Sakaue K

  National Inst. Advanced Ind. Sci. And Technol. (aist) Tsukuba‐shi Jpn

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