홉필드 네트워크를 이용한 FOV 분할

Partitioning of Field of View by Using Hopfield Network

  • 차영엽 (원광대학교 기계 시스템디자인 공학부) ;
  • 최범식 (원광대학교 대학원)
  • 발행 : 2001.11.01

초록

An optimization approach is used to partition the field of view. A cost function is defined to represent the constraints on the solution, which is then mapped onto a two-dimensional Hopfield neural network for minimization. Each neuron in the network represents a possible match between a field of view and one or multiple objects. Partition is achieved by initializing each neuron that represents a possible match and then allowing the network to settle down into a stable state. The network uses the initial inputs and the compatibility measures between a field of view and one or multiple objects to find a stable state.

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