Accurate on-line avatar control with collision anticipation

Peinado, Manuel; Meziat, D.; Maupu, Damien; Raunhardt, Daniel; Thalmann, Daniel; Boulic, Ronan

doi:10.1145/1315184.1315200

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…Nevertheless, this is hardly necessary since users would only perceive those behaviors in the foreground. We have also compared our IK solver with a typical Jacobian-based IK approach [33]. To perform this comparison, the same skeleton has been used in both cases.…”

Section: Resultsmentioning

confidence: 99%

Simulating gaze attention behaviors for crowds

Grillon

Thalmann²

2009

Computer Animation & Virtual

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Crowd animation is a topic of high interest which offers many challenges. One of the most important is the trade-off between rich, realistic behaviors and computational costs. To this end, much effort has been put into creating variety in character representation and animation. Nevertheless, one aspect still lacking realism in virtual crowd characters resides in their attention behaviors. In this paper, we propose a framework to add gaze attention behaviors to crowd animations. First, we automatically extract interest points from character or object trajectories in pre-existing animations. For a given character, we assign a set of elementary scores based on parameters such as dis- 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 tance or speed to all other characters or objects in the scene. We then combine these subscores in an overall scoring function. The scores obtained from this function form a set of gaze constraints that determine where and when each character should look. We finally enforce these constraints with an optimized dedicated gaze Inverse Kinematics solver. It first computes the displacement maps for the constraints to be satisfied. It then smoothly propagates these displacements over an automatically defined number of frames. We demonstrate the efficiency of our method and our visually convincing results through various examples.

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Section: Resultsmentioning

confidence: 99%

Simulating gaze attention behaviors for crowds

Grillon

Thalmann²

2009

Computer Animation & Virtual

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“…To solve this problem, a few collision handling methods based on the kinematic approach have been introduced. Our work is similar to Reference in terms of incorporating the kinematic constraints with IK for collision avoidance. Ours differs from it in that our system deals with new types of constraints, which are half‐space and relative constraints.…”

Section: Collision Handlingmentioning

confidence: 96%

Interactive character posing with efficient collision handling

Kim

Seol

Kim

et al. 2020

Computer Animation & Virtual

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An interactive interface for character posing is important in the field of computer graphics, games, and virtual reality. The inverse kinematics (IK) solver is the most popular approach that satisfies both the kinematic equations and the user-defined position and orientation constraints on the end-effectors. In this article, we present a novel interactive IK framework that efficiently handles various types of collisions and the spatial relationship constraints during the character posing process. Based on our method, a desired human pose can be easily obtained while resolving a collision with the environment and maintaining the spatial relationship of body parts. In addition, the character pose is smoothly updated throughout the user manipulation. K E Y W O R D Scollision handling, human motion, interactive editing

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“…Recent work, that also includes collision-avoidance constraints in a QP-based control, can be found in [37]. Other related work incorporates a reactive collision avoidance scheme similar to the one we use here in an inverse-kinematics-based motion reconstruction from motion capture data [38].…”

Section: Collision Avoidancementioning

confidence: 99%

Multi-Character Physical and Behavioral Interactions Controller

Vaillant

Bouyarmane

Kheddar

2017

IEEE Trans. Visual. Comput. Graphics

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We extend the quadratic program (QP)-based task-space character control approach-initially intended for individual character animation-to multiple characters interacting among each other or with mobile/articulated elements of the environment. The interactions between the characters can be either physical interactions, such as contacts that can be established or broken at will between them and for which the forces are subjected to Newton's third law, or behavioral interactions, such as collision avoidance and cooperation that naturally emerge to achieve collaborative tasks from high-level specifications. We take a systematic approach integrating all the equations of motions of the characters, objects, and articulated environment parts in a single QP formulation in order to embrace and solve the most general instance of the problem, where independent individual character controllers would fail to account for the inherent coupling of their respective motions through those physical and behavioral interactions. Various types of motions/behaviors are controlled with only the one single formulation that we propose, and some examples of the original motions the framework allows are presented in the accompanying video.

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Accurate on-line avatar control with collision anticipation

Cited by 10 publications

References 28 publications

Simulating gaze attention behaviors for crowds

Simulating gaze attention behaviors for crowds

Interactive character posing with efficient collision handling

Multi-Character Physical and Behavioral Interactions Controller

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