Surface Capture for Performance-Based Animation
نویسندگان
چکیده
منابع مشابه
Facial animation with motion capture based on surface blending
This paper proposes a methodology to reconstruct 3D facial expressions with motion capture data. Featurepoint based facial animation provides easy control of expression usually by moving surface points using mathematical deformation. However it does not support the high quality of surface animation of the face where the feature points are not present. In this paper, we focus on animating a 3D f...
متن کاملAnimation and Performance Capture Using Digitized Models
The realistic generation of virtual doubles of real-world actors has been the focus of computer graphics research for many years. However, some problems still remain unsolved: it is still time-consuming to generate character animations using the traditional skeleton-based pipeline, passive performance capture of human actors wearing arbitrary everyday apparel is still challenging, and until now...
متن کاملAction Capture: A VR-Based Method for Character Animation
This contribution describes a Virtual Reality (VR) based method for character animation that extends conventional motion capture by not only tracking an actor’s movements but also his or her interactions with the objects of a virtual environment. Rather than merely replaying the actor’s movements, the idea is that virtual characters learn to imitate the actor’s goal-directed behavior while inte...
متن کاملInteractive Video-Based Motion Capture for Character Animation
We combine techniques from interactive computer graphics and automated computer vision to extract articulated body movement from video. Active contours and techniques from image processing are used to identify features and establish feature relationships from frame to frame. A threedimensional hierarchical model is associated with active contours, which then kinematically “pull” the model along...
متن کاملEntropy-based motion extraction for motion capture animation
In this paper we present a new segmentation solution for extracting motion patterns from motion capture data by searching for critical keyposes in the motion sequence. A rank is established for critical keyposes that identifies the significance of the directional change in motion data. The method is based on entropy metrics, specifically the mutual information measure. Displacement histograms b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Computer Graphics and Applications
سال: 2007
ISSN: 0272-1716,1558-1756
DOI: 10.1109/mcg.2007.68