Coding Method of Visual Perception Reconstruction Based on Curve Fitting and Energy Function

Hong Chang Ke; Hui Wang; De Gang Kong

doi:10.4028/www.scientific.net/AMR.317-319.942

Paper Titles

The Application of Fast Moving Target Detection Technology in Hanger Intelligent Surveillance System
p.919

Development on Inspection System for Gear’s Dimension Based on Machine Vision
p.925

Approaches to the Feather Stain Detection and Segmentation
p.931

Calculus Method Research of Imagery Conceptual Network Based on Revision Calculus
p.937

Coding Method of Visual Perception Reconstruction Based on Curve Fitting and Energy Function
p.942

The Research on Camera Axis Perpendicular to the Target Surface and Method to Confirm its Position in Space
p.947

Inspection and Grading of Surface Defects of Fruits by Computer Vision
p.956

A 3D Reconstruction Framework from Image Sequences Based on Point and Line Features
p.962

The Study of an Improved Fuzzy Edge Detection Algorithm in the Radial Tire Quality Detection
p.968

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319Coding Method of Visual Perception Reconstruction...

Coding Method of Visual Perception Reconstruction Based on Curve Fitting and Energy Function

Abstract:

Efficient encoding of visual perception has a profound influence on machine vision and research and development of human-like intelligent systems. A coding method of visual perceptual reconstruction which was according to Gestalt perceptual organization principle was proposed. Visual perception connected discontinuous curves which can connect with reasonable smoothing method through curve fitting first before shape recognition and shape coding. Coding method filled in points of discontinuous place to get whole contour. Energy function was designed. Coding method can give the most reasonable solution when there are many methods of perception reconstruction. This paper described the implement method of coding method, and based on psychology used typical graphics which is used to explain the adjacent ratio to make experiment. The experiment results demonstrated that the coding method of visual contour reconstruction proposed accorded with Gestalt perception organization principle.

You might also be interested in these eBooks

Equipment Manufacturing Technology and Automation

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

942-946

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.942

Citation:

Cite this paper

Online since:

August 2011

Authors:

Hong Chang Ke, Hui Wang, De Gang Kong

Keywords:

Artificial Intelligence (AI), Coding Method of Visual Perception Reconstruction, Energy Function

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Siwei Luo. Information Processing Theory of Vision preception, Publishing House of Electronics Industry. (2006)

Google Scholar

[2] Jianfeng Lv. Social Sciences Review. (2010), pp.296-298.

Google Scholar

[3] R. I. Machinskaya, E. V. Krupskaya and A. V. Kurgansky.Erratum to: Functional Brain Organization of Global and Local Visual Perception. Human Physiology,Vol. 37(2010), P.253.

DOI: 10.1134/s0362119711770015

Google Scholar

[4] Siwei Luo. The Preception Computing of Visual Information, Science Press(2010).

Google Scholar

[5] John W.Zweck, Lance R.Williams. Journal of Mathematical Imaging and Vision,vol.6(2004), P.135-154.

Google Scholar

[6] Xiaofeng Ren, Charless C. Fowlkes. International journal of computer vision, Vol. 77(2008), P. 47-63.

Google Scholar

[7] Baars G.J. Cognition, Brain, and Consciousness Introduction to Cognitive Neuroscience. Science Press, (2008)

Google Scholar

[8] Steven J. Luck. An Introduction To The Event-Related Potential Technique. East China Normal University Press(2009).

Google Scholar