Now showing items 1-3 of 3
Value function approximation methods for Linearly-solvable Markov Decision Process
Optimal control provides an appealing machinery to complete complicated control tasks with limited prior knowledge. Both global methods and online trajectory optimization methods are powerful techniques for solving optimal control problems; however, each has limitations. The global methods are directly or indirectly based on ...
Robust Real-Time Image Processing Through Dynamic Mode Decomposition
In many areas of research, robust and efficient data-mining, and data-driven modeling, have become essential to progressing our understanding of increasingly complex and nonlinear relations often embedded in cluttered and/or corrupted data. Applications in the industry and technology sectors are demanding high-performance ...
Model-Based Hand Posture Estimation Using Monocular Camera
This work studies the problem of model-based hand posture estimation via monocular camera. Generally, a model-based posture estimation method manipulates a 3D hand model whose posture is determined by a set of parameters. It looks for parameters that align the model with hands in images best. In this thesis, the method for ...