Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper repres...
This paper presents an adaptive visualization for helping the needle insertion task for RF liver ablation under CT-fluoroscopy (CTfluoro) guidance. It shows slices of the 3D CT-vol...
Ruxandra Lasowski, Selim Benhimane, Jakob Vogel, T...
This paper presents a robust and reconfigurable object tracker that integrates multiple visual features from multiple views. The tandem modular architecture stepwise refines the e...
Stereo and 3D reconstruction are used by many applications such as object modeling, facial expression studies and human motion analysis. But synchronizing multiple high frame rate ...