西安交通大学人工智能与机器人研究所,陕西,西安,710049
网络出版:2003-12-25,
纸质出版:2003
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付昀, 郑南宁, 张婷. 人脸的表情与年龄变换和非完整信息的重构技术(下)[J]. 电子学报, 2003,31(S1):1963-1970.
FU Yun, ZHENG Nan-ning, ZHANG Ting. Facial Expression Transformation,Aging and Invisible View Reconstruction (2)[J]. Acta Electronica Sinica, 2003, 31(S1): 1963-1970.
非完整视点信息的重构技术可以利用少量的对象视点信息
结合统计学的理论方法对缺失视点信息进行预测和恢复.该文探讨了从单幅2D人像恢复其它视点图像并重构3D形态效果的技术
提出了非完整人像视点续变的技术框架
通过大视点数据库的离线创建
单视点输入的模型匹配
以及大视点空间映射与连续视点重建三个模块
从单视点合成连续的多视点图像.该技术以尽量少的人像2D信息获得高真实度的3D效果
绕过了3D模型重构
可恢复出未知人脸表面的纹理信息.最后结合AIAR人像库的实际建库经验
讨论了人像数据的采集技术和分类方法
提出了在有限拍摄条件下的人像库建立方法与建库实例.
The reconstruction technique of the invisible views of human head belongs to the statistical technique for predicting unknown information.This paper researches on the sequential novel view synthesis or the 3D model computing from a single facial image.An advanced framework for the invisible sequential view reconstruction
which includes discrete view database creating
single view input and model matching
view space projection and view morphing
is presented.The techniques can generate realistic face appearances and invisible views with limited prior information bypassing the building of 3D models.The practical experiences for the AIAR face database creation under limited shooting angles and conditions are also presented at last to help implement the view reconstruction techniques.
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