Author :
Liou, Cheng-Yuan ; Chang, Quan-Ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
A mesh model which is composed of many element units which are called snakes is presented. The boundary sides surrounding a hole on the mesh form an element snake. These element snakes configure the whole mesh. We devise a Hopfield type energy function for these snakes. This energy function will guide the mesh for various applications, such as image coding, surface modeling, image recognition
Keywords :
Hopfield neural nets; image coding; image recognition; mesh generation; Hopfield type energy function; image coding; image recognition; meshed snakes; surface modeling; Computer science; Hopfield neural networks; Image coding; Image reconstruction; Image sequences; Mesh generation; Resists; Shape; Spline; Surface reconstruction;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549125
