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3-D-Models-Pose-and-Illumination
- The 3-D Morphable Model was introduced as a generative model to p redictthe appearances o f an individual while using a statistical prior on shape and texture allowin g its parameters to be estimated from single image. Based on these new unde
2005510101315809
- 提出了一种复杂背景下的多车牌图像分割和识别方法，首先采用统计和特征匹配相结合的方法进行背景提取，将可能存在车辆的区域提取出来；然后分别对可能的车辆区域进行局部边缘检测，并使用车牌的先验知识确定车牌的位置和单个字符分割，包括车牌倾斜时的字符分割；最后使用PCA和神经网络相结合的方法精确识别车牌。-Proposed a multi-plate image segmentation and recognition method under a complex background, the first
2009-0003
- 医学图像配准，2D_3D医学图像配准论文-In 2D-3D Medical Image Registration (MIR), preoperative 3D CT images are registered with intraoperative 2D X-rays images obtained by fluoroscopy or Electronic Portal Imag- ing Devices (EPID). 2D-3D MIR is established by compu
Facial_Feature_Tracking
- 通过建议一个人脸形状先验模型关注该问题，该模型基于受限Boltzmann Machines (RBM)及其变种构建。特别的，我们首先基于深度信任网络构建一个模型以获取接近正视角的表情变化的人脸形状变量。为了解决姿态变化问题，我们将正面人脸形状先验模型整合到一个3路（3-way）RBM模型，其可以获取正面人脸形状和非正面人脸形状间的关系。最后，我们建议一个方法，将人脸先验模型和人脸特征点的图像度量系统性地组合在一起。-we address this problem by proposing a
05567108.pdf
- The sky region of restored images often appears serious noise and color distortion using classical dark channel prior algorithm. To address this is- sue, we propose an improved dark channel prior algorithm which recognizes the sky regions in hazy ima