When stochastic control problems do not possess separability and/or monotonicity, the dynamic programming pioneered by Bellman in 1950s fails to work as a time-decomposition solution method.
Optimization and Control Systems and Control Systems and Control Portfolio Management
Stochastic control with both inherent random system noise and lack of knowledge on system parameters constitutes the core and fundamental topic in reinforcement learning (RL), especially under non-episodic situations where online learning is much more demanding.
The patches of the three-dimensional garment were automatically positioned around the human model by setting up the correspondence via feature matching.
A personalized mannequin is essential for apparel customization using CAD technologies.
In this paper, a new method was proposed to establish the relationship between three-dimensional (3D) foot shapes and their two-dimensional (2D) foot silhouettes, through which a complete 3D foot shape can be predicted by simply inputting its two 2D silhouettes.
Purpose The purpose of this paper is to present a novel framework of reconstructing the 3D textile model with synthesized texture.
Purpose The calibration is a key but cumbersome process for 3D body scanning using multiple depth cameras.
In this paper, a system with six depth cameras was built to scan both feet simultaneously.
In this paper, we propose a universal registration method for the body scanner consists of multiple fixed sensors.