Abstract:
Many different techniques have been
applied to the reconstruction of three dimensional
shapes from image sequences.This paper
considers the computing of 3D shape of an
unknown, arbitrarily-shaped scene from multiple
2D photographs taken at known but arbitrarilydistributed
viewpoints. This will give an
algorithm, called Space Carving for computing
3D shape and presents experimental results from
applying it to the reconstruction of threedimensional
objects from several photographs.
This proposed system studies that the
transformation of 2D images to 3D image by
computing the photo consistency of given input
sequence. The system will create bounding box
model from each image’s camera coordinate
parameters and use number of voxels for checking
consistency. It shows the processing time of each
input sequence and proves that if the final volume
(number of voxels) is increased, the processing
time will also be increased. Space Carving
algorithm uses silhouette information for
effectiveness of checking consistency so that there
is no correspondence problem occurred in stereo
matching approach.
