We present a flexible GPU kernel for adaptive on-the-fly refinement of meshes with arbitrary topology. By simply reserving a small amount of GPU memory to store a set of adaptive ...
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
We address the need for robust detection of obstructed human features in complex environments, with a focus on intelligent surgical UIs. In our setup, real-time detection is used t...
3D mesh models are now widely available for use in various applications. The demand for automatic model analysis and understanding is ever increasing. Mesh segmentation is an impo...
Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin, Paul L. R...
— In a previous paper [3], we proposed a new way to achieve visual servoing. Rather than minimizing the error between the position of two set of geometric features, we proposed t...