Point Cloud Registration Project.

Point cloud registration is an important topic in the fields of computer graphics and 3D vision. In this project, we propose a shape space-based point cloud registration method. It provides the uniform representation for point cloud, which is based on shape space. Then, the shape measurement is proposed to evaluate the alignment quality for registration. The proposed registration method have some advantages: more accurate, robust to large difference of poses and scales, robust to random noise, and fast speed with parallel structure.

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Point Cloud-based Mesh Reconstruction Project.

Mesh reconstruction from a 3D point cloud is an important topic in the fields of computer graphics, computer vision, and multimedia analysis. In this project, we propose a voxel structure-based mesh reconstruction framework. It provides the intrinsic metric to improve the accuracy of local region detection. Based on the detected local regions, an initial reconstructed mesh can be obtained. With the mesh optimization in our framework, the initial reconstructed mesh is optimized into an isotropic one with the important geometric features such as external and internal edges.

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Facial Sketch Expression Editing Project.

For criminal investigation and portrait drawing, automatic expression editing tools for face sketch improve work efficiency obviously and reduce professional requirements for users. In this project, we propose a novel method for facial expression editing in face sketch. The new facial expressions in the sketch images can be regenerated automatically.

(Coming soon...)