Zhenming Yuan

Learn More
PURPOSE Diffusion tensor imaging is widely used for studying neural fiber trajectories in white matter and for quantifying changes in tissue using diffusion properties at each voxel in the brain. To better model the nature of crossing fibers within complex architectures, rather than using a simplified tensor model that assumes only a single fiber direction(More)
Segmentation of 3D objects into functional parts-forming a visual hierarchy is a fundamental task in computer vision. Visual hierarchies are essential for many higher level tasks such as activity recognition [5], semantic segmentation [1], object detection [2], and human pose recognition [7]. Nevertheless, part segmentation, particularly of 3D point clouds,(More)
The discovery of route patterns from trajectory data generated by moving objects is an essential problem for location-aware computing. However, the high degree of uncertainty of personal trajectory data significantly disturbs the existing route pattern mining approaches, and results in finding only short and incomplete patterns with high computational(More)
A style-consistent calligraphy tablet designing approach is proposed in this paper. The layout of the tablet is calculated firstly. The calligraphy characters are retrieved from the ones written by the specific calligrapher, while the style-consistency calligraphy character synthesis approach is applied to synthesize the non-existent ones. Finally, these(More)