Interactive manipulation of large-scale crowd animation

Kim, Jongmin; Seol, Yeongho; Kwon, Taesoo; Lee, Jehee

doi:10.1145/2601097.2601170

Cited by 43 publications

(32 citation statements)

References 63 publications

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“…Crowd motion post-processing methods have also been introduced [Jordao et al 2014;Kwon et al 2008;Kim et al 2014]. By using these techniques, density and flow control of crowds can be achieved at a limited scale.…”

Section: Related Workmentioning

confidence: 99%

Crowd art

Jordao

Charalambous

Christie

et al. 2015

Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games

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Section: Related Workmentioning

confidence: 99%

Crowd art

Jordao

Charalambous

Christie

et al. 2015

Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games

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“…9,10 Recent works allow the users to manipulate group motions using an editable mesh. 11,12 Despite the success of the above methods, they essentially work in 2D and may not be directly applicable for flying insects in the 3D space.…”

Section: Related Workmentioning

confidence: 99%

Shape‐constrained flying insects animation

Chen

Luo

Yang

et al. 2019

Computer Animation & Virtual

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During the past decades, high‐fidelity realistic simulations of various flying insects exhibiting collective behavior have been broadly used in entertainment industries and virtual reality applications. However, due to the intrinsic complexity and high computational cost, shape constrained simulation of collective behaviors remains a challenging topic. In this paper, we present a robust multi‐agent model for large‐scale controllable shape constrained simulation of flying insects. Specifically, we design an internal force model to biologically mimic an individual insect. We also propose an external force model based on a trade‐off mechanic to guide the insects smoothly deforming into a target shape. Our experimental results and comparative studies show our method is able to simulate realistic and dynamic flying insects with various user‐specified shape constraints.

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“…Utilizing a single‐pass algorithm, crowd movements can be evaluated based on a deformable mesh [HSK12, HSK14]. It is also possible to interactively edit large‐scale crowd while maintaining the spatial relationship between individuals [KSKL14]. Voronoi diagram can be used to represent the spatial relationship between different agents and organize the crowd movement in constraint space using Torso Crowd Model [SMTT*17].…”

Section: Related Workmentioning

confidence: 99%

Data‐Driven Crowd Motion Control With Multi‐Touch Gestures

Shen

Henry

Wang

et al. 2018

Computer Graphics Forum

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Controlling a crowd using multi‐touch devices appeals to the computer games and animation industries, as such devices provide a high‐dimensional control signal that can effectively define the crowd formation and movement. However, existing works relying on pre‐defined control schemes require the users to learn a scheme that may not be intuitive. We propose a data‐driven gesture‐based crowd control system, in which the control scheme is learned from example gestures provided by different users. In particular, we build a database with pairwise samples of gestures and crowd motions. To effectively generalize the gesture style of different users, such as the use of different numbers of fingers, we propose a set of gesture features for representing a set of hand gesture trajectories. Similarly, to represent crowd motion trajectories of different numbers of characters over time, we propose a set of crowd motion features that are extracted from a Gaussian mixture model. Given a run‐time gesture, our system extracts the K nearest gestures from the database and interpolates the corresponding crowd motions in order to generate the run‐time control. Our system is accurate and efficient, making it suitable for real‐time applications such as real‐time strategy games and interactive animation controls.

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Interactive manipulation of large-scale crowd animation

Cited by 43 publications

References 63 publications

Crowd art

Crowd art

Shape‐constrained flying insects animation

Data‐Driven Crowd Motion Control With Multi‐Touch Gestures

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