Title :
Recovering 3D Shape Using an Improved Fast Marching Method
Author :
Zou, Chengming ; Hancock, Edwin
Author_Institution :
Dept. of Comput. Sci., Wuhan Univ. of Technol., Wuhan, China
Abstract :
In this paper we present an improved shape from shading method using improved fast marching method. We commence by showing how to recover 3D shape from a single image using an improved fast marching method for solving SFS problem. Then we use the level set method constrained by energy minimization to evolve the 3D shape. Finally we show that the method can recover stable surface estimates from both synthetic and real world images of complex objects. The experimental results show that the resulting method is both robust and accurate.
Keywords :
estimation theory; minimisation; realistic images; shape recognition; 3D shape; SFS problem; complex objects; energy minimization; improved fast marching method; level set method; real world images; shading method; stable surface estimates; synthetic images; Equations; Face; Mathematical model; Pixel; Shape; Surface treatment; Three dimensional displays; 3D shape; fast marching method; level set; shape from shading;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.415