Computational Model for Calculating Curvatures
スポンサーリンク
概要
- 論文の詳細を見る
Although there were in-depth discussions in the 1970s on the question of whether the human visual system contains curvature detectors or contour detectors, which respond to the tangents of curves [Blakemore 74], they yielded no definite conclusions. Until now, the end-stopped cell model of curve detection has been the predominant one [Dobbins 87]. However, this model detects curvature with a low degree of accuracy, so a better model is required. Long ago, people discovered that the human brain is a network of numerous neurons. The hypothesis of achieving a highly accurate calculation of curvature through a network composed of biological elements (simple cells) is readily accepted. However, neither Blakemore et al. nor Dobbins et al. explain the function of simple cells in the calculation of curvature. This article illustrates the function of simple cells in calculating curvature. Moreover, in this article we attempt to construct a computational model for describing the mechanism for calculating curvatures along suggestions of Blakemore and Over. This model gives a key for answering to a question why the Helmholtz irradiation disappears when two squares are replaced by two circles.
- 社団法人 人工知能学会の論文
- 2007-11-01
著者
-
Yu Haiyang
Graduate School of Electronic Science and Technology Shizuoka University
-
Niitsuma Seizaburo
Department of System Engineering Faculty of Engineering Shizuoka University
関連論文
- Detection of Movement Vectors Based on Edge Segment Detection
- Computational Model for Calculating Curvatures
- Computational Model for Calculating Curvatures