2011/04/01 by Myung Geol Choi, Manmyung Kim, Kyung Lyul Hyun +1 · 1 citation
Computer Science · Engineering · #Human Motion and Animation #Human Pose and Action Recognition #Video Analysis and Summarization
paper · doi:10.1111/j.1467-8659.2011.01889.x
openalex publication_date 2011/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/26
Abstract We present an interactive method that allows animated characters to navigate through cluttered environments. Our characters are equipped with a variety of motion skills to clear obstacles, narrow passages, and highly constrained environment features. Our control method incorporates a behavior model into well‐known, standard path planning algorithms. Our behavior model, called deformable motion , consists of a graph of motion capture fragments. The key idea of our approach is to add flexibility on motion fragments such that we can situate them into a cluttered environment via constraint‐based formulation. We demonstrate our deformable motion for realtime interactive navigation and global path planning in highly constrained virtual environments.