Title :
Recovery of surfaces with discontinuities by fusing shading and range data within a variational framework
Author :
Shah, Jayant ; Pien, Homer II ; Gauch, John M.
Author_Institution :
Dept. of Math., Northeastern Univ., Boston, MA, USA
fDate :
8/1/1996 12:00:00 AM
Abstract :
This work provides a variational framework for fusing range and intensity data for recovering regularized surfaces. It is shown that this framework provides natural boundary conditions for the shape-from-shading problem, results in a new shape-from-shading formulation in the absence of range data, and provides a new fusion paradigm when range data is incorporated. The approach is demonstrated on simulated range and intensity images; error analysis with respect to the ground truth surface is presented. It is shown that the formulation performs well even in very noisy images
Keywords :
error analysis; image recognition; object recognition; sensor fusion; variational techniques; data fusion; discontinuities; error analysis; ground truth surface; intensity data; natural boundary conditions; object recognition; range data; regularized surface recovery; shading data; shape from shading problem; simulated intensity images; simulated range images; surface recovery; variational framework; very noisy images; Analytical models; Boundary conditions; Ferroelectric films; Image reconstruction; Laboratories; Layout; Mathematics; Nonvolatile memory; Random access memory; Surface reconstruction;
Journal_Title :
Image Processing, IEEE Transactions on