Summary: SHAPE FROM COLOR CONSISTENCY USING NODE CUT
Ning Xu, Tianli Yu and Narendra Ahuja
Department of Electrical and Computer Engineering and Beckman Institute
University of Illinois at Urbana-Champaign, Urbana, IL61801, USA
In this paper, we present a method to estimate the shape
of a three dimensional (3D) object by enforcing color con-
sistency in the views of object points in images acquired
from different viewpoints. The estimated shape and color
information of the object can be used to render new views
of the object. We first construct a 3D voxel space and as-
sign to each voxel a photo inconsistency value, and then
represent this voxel space using a node capacitated graph.
We use s-t node cut to obtain a surface that minimizes the
summation of photo inconsistency values of surface voxels.
Experimental results for simulated and real objects are pro-
vided. We also simulate how the calibration errors of cam-
era intrinsic and extrinsic parameters affect the performance
of our algorithm.