title: Motion imitation with a handheld camera.
abstract: In this paper, we present a novel method to extract motion of a dynamic object from a video that is captured by a handheld camera, and apply it to a 3D character. Unlike the motion capture techniques, neither special sensors/trackers nor a controllable environment is required. Our system significantly automates motion imitation which is traditionally conducted by professional animators via manual keyframing. Given the input video sequence, we track the dynamic reference object to obtain trajectories of both 2D and 3D tracking points. With them as constraints, we then transfer the motion to the target 3D character by solving an optimization problem to maintain the motion gradients. We also provide a user-friendly editing environment for users to fine tune the motion details. As casual videos can be used, our system, therefore, greatly increases the supply source of motion data. Examples of imitating various types of animal motion are shown.
authors.affiliation: State Key Laboratory of CAD&CG, Zijingang Campus, Zhejiang University, Hangzhou 310058, PR China. zhangguofeng@cad.zju.edu.cn
authors.forename: Guofeng
authors.initials: G
authors.lastname: Zhang
authors.forename: Hanqing
authors.initials: H
authors.lastname: Jiang
authors.forename: Jin
authors.initials: J
authors.lastname: Huang
authors.forename: Jiaya
authors.initials: J
authors.lastname: Jia
authors.forename: Tien-Tsin
authors.initials: TT
authors.lastname: Wong
authors.forename: Kun
authors.initials: K
authors.lastname: Zhou
authors.forename: Hujun
authors.initials: H
authors.lastname: Bao