2013
DOI: 10.1007/s00371-013-0797-1
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Sketching human character animations by composing sequences from large motion database

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Cited by 20 publications
(10 citation statements)
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References 22 publications
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“…[HSCY13] proposed a framework that conserves the topology of the synthesizing postures; using Gauss linking integral (GLI), they avoid body part penetration by distinguishing topologically different postures, thus reducing the processing time required to search for data in the motion database. There is an ongoing effort, looking for efficient methods to establish temporal coherence and continuity in the generated motion [SH12, YVN*14, HMC*15].…”
Section: Data‐driven Inverse Kinematicsmentioning
confidence: 99%
“…[HSCY13] proposed a framework that conserves the topology of the synthesizing postures; using Gauss linking integral (GLI), they avoid body part penetration by distinguishing topologically different postures, thus reducing the processing time required to search for data in the motion database. There is an ongoing effort, looking for efficient methods to establish temporal coherence and continuity in the generated motion [SH12, YVN*14, HMC*15].…”
Section: Data‐driven Inverse Kinematicsmentioning
confidence: 99%
“…Sketch is also used for facial expressions by Lau [19] and Seol [20]. In computer animation, sketch also has been successfully used in motion synthesis, motion retrieval and posture design [21][22][23][24][25][26][27]14].…”
Section: Related Workmentioning
confidence: 99%
“…Different from the other kind of input, using a 2D sketch brings in the following benefits: intuitiveness, fast posture definition, quick production of sample and first-pass animated scenes [14]. In light of this, we also utilize the sketch interface to retrieve human motion from database in this paper.…”
Section: Introductionmentioning
confidence: 98%
“…Yoo et al . avoided this problem by projecting the same pose onto eight different angled planes and then comparing all of them with the user input sketch .…”
Section: Related Workmentioning
confidence: 99%