Abstract: A motion processing method and apparatus are provided. The motion processing method includes obtaining a base-level motion by applying a linear Gaussian model to an input motion, obtaining a controllable motion displacement vector and a residual motion displacement vector by applying the linear Gaussian model to a displacement vector between the input motion and the base-level motion, and synthesizing an output motion based on the base-level motion and the controllable motion displacement vector.

Abstract: A motion processing method and apparatus are provided. The motion processing method includes obtaining a base-level motion by applying a linear Gaussian model to an input motion, obtaining a controllable motion displacement vector and a residual motion displacement vector by applying the linear Gaussian model to a displacement vector between the input motion and the base-level motion, and synthesizing an output motion based on the base-level motion and the controllable motion displacement vector.

Abstract: Provided is a full-body modeling method and apparatus based on new model predictive control (MPC) with a visuomotor system in which visual perception and full-body motion control are integrated. The full-body modeling method includes determining a partial observation value associated with a state of an object based on a point of sight of a character, estimating the state of the object using the determined partial observation value based on a partially observable Markov decision process (POMDP), controlling a state of the character based on the estimated state of the object, and visualizing a motion of the character.

Abstract: Provided is a full-body modeling method and apparatus based on new model predictive control (MPC) with a visuomotor system in which visual perception and full-body motion control are integrated. The full-body modeling method includes determining a partial observation value associated with a state of an object based on a point of sight of a character, estimating the state of the object using the determined partial observation value based on a partially observable Markov decision process (POMDP), controlling a state of the character based on the estimated state of the object, and visualizing a motion of the character.

Abstract: An apparatus for motion transformation according to an embodiment of the present disclosure includes a basic data input unit through which basic motion data is inputted, a pre-processing unit which acquires a parameter through pre-processing of the inputted basic motion data, a motion transformation unit which performs biomechanical observations-based gait motion transformation processing based on the pre-processed parameter and age input information, and an output unit which outputs the transformation processed motion.

Abstract: The present disclosure relates to a motion edit method for editing the motion of an articulated object using a computing device with a touch screen, including a) when any one of a joint path and a body line of an articulated object is selected by a user, setting a position constraint of higher level joint according to the user's sketching input and joint hierarchy, and b) generating motion of the articulated object for which the constraint is set.

Abstract: An apparatus for motion transformation according to an embodiment of the present disclosure includes a basic data input unit through which basic motion data is inputted, a pre-processing unit which acquires a parameter through pre-processing of the inputted basic motion data, a motion transformation unit which performs biomechanical observations-based gait motion transformation processing based on the pre-processed parameter and age input information, and an output unit which outputs the transformation processed motion.

Abstract: The present disclosure relates to a motion edit method for editing the motion of an articulated object using a computing device with a touch screen, including a) when any one of a joint path and a body line of an articulated object is selected by a user, setting a position constraint of higher level joint according to the user's sketching input and joint hierarchy, and b) generating motion of the articulated object for which the constraint is set.

Abstract: Disclosed is a model predictive control. The model predictive control method includes: receiving an input system dynamics model for a character; performing numerical differentiation to the input system dynamics model by using at least one technique selected from the group consisting of a differentiation information interpolation technique, a physical quantity reuse technique and a contact-space inverse mass matrix (CIMM) technique; and outputting differentiation information for the system dynamics model.