Animating animal motion from still

Xuemiao Xu; Liang Wan; Xiaopei Liu; Tien-Tsin Wong; Liansheng Wang; Chi-Sing Leung

doi:10.1145/1409060.1409070

Animating animal motion from still

Xuemiao Xu
, Liang Wan
, Xiaopei Liu
, Tien-Tsin Wong
, Liansheng Wang
, Chi-Sing Leung

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

38 Citations (Scopus)

Abstract

Even though the temporal information is lost, a still picture of moving animals hints at their motion. In this paper, we infer motion cycle of animals from the "motion snapshots" (snapshots of different individuals) captured in a still picture. By finding the motion path in the graph connecting motion snapshots, we can infer the order of motion snapshots with respect to time, and hence the motion cycle. Both "half-cycle" and "full-cycle" motions can be inferred in a unified manner. Therefore, we can animate a still picture of a moving animal group by morphing among the ordered snapshots. By refining the pose, morphology, and appearance consistencies, smooth and realistic animal motion can be synthesized. Our results demonstrate the applicability of the proposed method to a wide range of species, including birds, fishes, mammals, and reptiles. © 2008 ACM.

Original language	English
Article number	117
Journal	ACM Transactions on Graphics
Volume	27
Issue number	5
Online published	1 Dec 2008
DOIs	https://doi.org/10.1145/1409060.1409070
Publication status	Published - Dec 2008

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

This is a reprint of: Xu, X., Wan, L., Liu, X., Wong, T.-T., Wang, L., & Leung, C.-S. (2008). Animating animal motion from still. In J. C. Hart (Ed.), SIGGRAPH Asia '08: ACM SIGGRAPH Asia 2008 papers Article 117 Association for Computing Machinery. https://doi.org/10.1145/1457515.1409070

Research Keywords

Animal group
Consistency refinement
Motion cycle
Motion inference
Still picture

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title = "Animating animal motion from still",

abstract = "Even though the temporal information is lost, a still picture of moving animals hints at their motion. In this paper, we infer motion cycle of animals from the {"}motion snapshots{"} (snapshots of different individuals) captured in a still picture. By finding the motion path in the graph connecting motion snapshots, we can infer the order of motion snapshots with respect to time, and hence the motion cycle. Both {"}half-cycle{"} and {"}full-cycle{"} motions can be inferred in a unified manner. Therefore, we can animate a still picture of a moving animal group by morphing among the ordered snapshots. By refining the pose, morphology, and appearance consistencies, smooth and realistic animal motion can be synthesized. Our results demonstrate the applicability of the proposed method to a wide range of species, including birds, fishes, mammals, and reptiles. {\textcopyright} 2008 ACM.",

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AU - Xu, Xuemiao

AU - Wan, Liang

AU - Liu, Xiaopei

AU - Wong, Tien-Tsin

AU - Wang, Liansheng

AU - Leung, Chi-Sing

N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s). This is a reprint of: Xu, X., Wan, L., Liu, X., Wong, T.-T., Wang, L., & Leung, C.-S. (2008). Animating animal motion from still. In J. C. Hart (Ed.), SIGGRAPH Asia '08: ACM SIGGRAPH Asia 2008 papers Article 117 Association for Computing Machinery. https://doi.org/10.1145/1457515.1409070

PY - 2008/12

Y1 - 2008/12

N2 - Even though the temporal information is lost, a still picture of moving animals hints at their motion. In this paper, we infer motion cycle of animals from the "motion snapshots" (snapshots of different individuals) captured in a still picture. By finding the motion path in the graph connecting motion snapshots, we can infer the order of motion snapshots with respect to time, and hence the motion cycle. Both "half-cycle" and "full-cycle" motions can be inferred in a unified manner. Therefore, we can animate a still picture of a moving animal group by morphing among the ordered snapshots. By refining the pose, morphology, and appearance consistencies, smooth and realistic animal motion can be synthesized. Our results demonstrate the applicability of the proposed method to a wide range of species, including birds, fishes, mammals, and reptiles. © 2008 ACM.

AB - Even though the temporal information is lost, a still picture of moving animals hints at their motion. In this paper, we infer motion cycle of animals from the "motion snapshots" (snapshots of different individuals) captured in a still picture. By finding the motion path in the graph connecting motion snapshots, we can infer the order of motion snapshots with respect to time, and hence the motion cycle. Both "half-cycle" and "full-cycle" motions can be inferred in a unified manner. Therefore, we can animate a still picture of a moving animal group by morphing among the ordered snapshots. By refining the pose, morphology, and appearance consistencies, smooth and realistic animal motion can be synthesized. Our results demonstrate the applicability of the proposed method to a wide range of species, including birds, fishes, mammals, and reptiles. © 2008 ACM.

KW - Animal group

KW - Consistency refinement

KW - Motion cycle

KW - Motion inference

KW - Still picture

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U2 - 10.1145/1409060.1409070

DO - 10.1145/1409060.1409070

M3 - RGC 21 - Publication in refereed journal

SN - 0730-0301

VL - 27

JO - ACM Transactions on Graphics

JF - ACM Transactions on Graphics

IS - 5

M1 - 117

ER -

Animating animal motion from still

Abstract

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Research Keywords

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