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Search and transitioning for motion captured sequences
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Source Virtual Reality Software and Technology archive
Proceedings of the ACM symposium on Virtual reality software and technology table of contents
Monterey, CA, USA
SESSION: Spatial tracking, haptics & hardware table of contents
Pages: 220 - 223  
Year of Publication: 2005
ISBN:1-59593-098-1
Authors
Suddha Basu  Indian Institute of Technology - Bombay
Shrinath Shanbhag  Indian Institute of Technology - Bombay
Sharat Chandran  Indian Institute of Technology Bombay and Univ. of Maryland
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Animators today have started using motion captured (mocap) sequences to drive characters. Mocap allows rapid acquisition of highly realistic animation data. Consequently animators have at their disposal an enormous amount of mocap sequences which ironically has created a new retrieval problem. Thus, while working with mocap databases, an animator often needs to work with a subset of ``useful'' clips. Once the animator selects a candidate working set of motion clips, she then needs to identify appropriate transition points amongst these clips for maximal reuse.In this paper, we describe methods for querying mocap databases and identifying transitions for a given set of clips. We preprocess clips (and clip subsequences), and precompute frame locations to allow interactive stitching. In contrast with existing methods that view each individual clips as nodes, for optimal reuse, we reduce the granularity.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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E. J. Keogh, T. Palpanas, V. B. Zordan, D. Gunopulos, and M. Cardle. Indexing large human-motion databases. In VLDB, pages 780--791, 2004.
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Collaborative Colleagues:
Suddha Basu: colleagues
Shrinath Shanbhag: colleagues
Sharat Chandran: colleagues