Motion capture assisted animation: texturing and synthesis

By Katherine Pullen, C. Bregler. ACM Transactions on Graphics, 2002

388 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/42256e3425d0da959b97329e0ea41dd3ca43dde7

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In Computer Vision and Pattern Recognition

In Control and Systems Engineering

Citations in the corpus

Beyond pixels: exploring new representations and applications for motion analysis (2009, background): “1 Related Work Motion magnification analyzes and redisplays a motion signal, and thus relates to research on manipulating and redisplaying motion capture data, such as modifications to create new actions from others [5, 58, 84, 60], and methods to alter style [17, 42, 119].”
Construction and optimal search of interpolated motion graphs (2007, background): “This restriction is less of a problem than it might appear because animated characters tend to act on their environment, and user constraints, therefore, often create contact changes (footsteps, picking up an object, sitting on a chair, for example).”
Style-based inverse kinematics (2004, background): “Many authors have described systems for producing new sequences of movements from examples, either by direct copying and blending of poses [Arikan and Forsyth 2002; Arikan et al. 2003; Kovar et al. 2002; Lee et al. 2002; Pullen and Bregler 2002] or by learning a likelihood function over sequences [B”
Motion magnification (2005, methodology): “Motion magnification analyzes and redisplays a motion signal, and thus relates to research on manipulating and redisplaying motion capture data, such as modifications to create new actions from others [Arikan and Forsyth 2002; Lee et al. 2002; Pullen and Bregler 2002; Li et al. 2002], and methods to”
Motion synthesis from annotations (2003, methodology): “They also used a similar approach to fetch missing degrees of freedom in a motion from a motion capture database [Pullen and Bregler 2002].”
Efficient content-based retrieval of motion capture data (2005, methodology): “then be processed via editing and morphing techniques [Bruderlin and Williams 1995; Witkin and Popovic 1995; Giese and Poggio 2000; Pullen and Bregler 2002; Kovar and Gleicher 2003; Kovar and Gleicher 2004].”
Generalizing motion edits with Gaussian processes (2009, neutral): “See Section 4.2 for details.”
Performance animation from low-dimensional control signals (2005, methodology): “Another potential application is the automatic synthesis of detailed full-body animation based on a small set of trajectories keyframed by an animator [Pullen and Bregler 2002].”
Motion texture: a two-level statistical model for character motion synthesis (2002, methodology): “Similar to multi-resolution representations of texture [10] and movie texture [2], Pullen and Bregler modeled cyclic motions by multi-resolution signals.”
Two Distributed-State Models For Generating High-Dimensional Time Series (2011, background): “Pullen and Bregler (2002) propose a hybrid approach where low-frequen cy components are retained from user input and high-frequency components, called “texture”, are add d from the database.”
Documentation Mocap Database HDM05 (2007, background): “…sit down on table [11] stand up [12] walk 3 steps away from table and turn around [13] walk 3 steps to table [14] sit down on table [15] stand up [16] walk 3 steps away from table and turn around [17] walk 3 steps to lying position [18] sit down on ﬂoor [19] stand up [20] walk 3 steps away from…”