Gradient-Domain Stereoscopic Image Cloning
Date Issued
2011
Date
2011
Author(s)
Shen, I-Chao
Abstract
This thesis presents a novel gradient-domain stereoscopic image cloning technique
which performs both color blending and shape adjustment so that the stereoscopic composite
is seamless in both color appearance and the perceived shape. The core of the
proposed method is an iterative disparity adaptation process which alternates between
two steps: gradient-domain disparity estimation, which re-estimates the disparities in the
gradient domain so that the disparities are continuous across the boundary of the cloned
region; and perspective-aware warping, which re-adjusts the shape and size of the cloned
region according to the updated disparities. This procedure guarantees not only depth continuity
across the boundary but also models perspective foreshortening, leading to more
natural stereoscopic composites. Our method allows cloning objects with transparency,
intricate silhouette and vague boundaries easily because it does not require precise segmentation
of the objects. We demonstrates stereoscopic image cloning on several challenging
cases including water surface, firework and rainbow.
Subjects
seamless cloning
multi-view&3D
stereoscopic images
Type
thesis
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