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三维形变模型(3D Morphable Model, 3DMM)和从运动中恢复结构(Structure From Motion, SFM)方法被广泛用于三维人脸重建. 基于单视图进行三维人脸重建需要正视图和先验模型, 会受到计算复杂度高、容易陷入局部极小值和易受姿态变化的影响. 本文提出一种针对侧视图的三维人脸重建方法, 首先对侧视图使用改进的三维形变模型, 得到初始的三维人脸正视图及特征点; 然后根据人脸对称性, 得到侧视图对称的视图及对应的面部特征点; 最后用SFM方法将正视图、原始视图和对称视图重建, 得到稀疏三维模型. 并用不同姿态的面部图片对该方法进行了评估, 结果表明该方法比已有的方法对姿态变化更具鲁棒性. 相似文献
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Hélène PellissierAuthor Vitae 《Tetrahedron》2011,67(21):3769-3802
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The bounded rationality mainstream is based on interesting experiments showing human behaviors violating classical probability (CP) laws. Quantum probability (QP) has been shown to successfully figure out such issues, supporting the hypothesis that quantum mechanics is the central fundamental pillar for brain function and cognition emergence. We discuss the decision-making model (DMM), a paradigmatic instance of criticality, which deals with bounded rationality issues in a similar way as QP, generating choices that cannot be accounted by CP. We define this approach as criticality-induced bounded rationality (CIBR). For some aspects, CIBR is even more satisfactory than QP. Our work may contribute to considering criticality as another possible fundamental pillar in order to improve the understanding of cognition and of quantum mechanics as well. 相似文献
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