Image Based Face Replacement in Video
Date Issued
2009
Date
2009
Author(s)
Liang, Yu
Abstract
In this paper, we present a complete system for plausible face replacementf videos. In our system, we take two videos as inputs. And we aim toeplace the target human subject’s face with another human subject’s in thether video. Our replacement algorithm has three main stages. First, givenn input video, we detect all faces that are present, and align such detectedaces. Second, we analyze facial expressions of each detected faces and selectandidate face images from source video that are most similar to the targetace in pose and expression. Third, we blend candidate replacements to targetideo. Our approach requires no 3D model, is fully automatic and generateslausible results.
Subjects
Face Replacement
Image-Based Rendering
Computational Photography
Type
thesis
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