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Animation-based action prediction generation method and device

A motion prediction and motion technology, applied in animation production, character and pattern recognition, image data processing, etc., can solve the problem of reducing the actual effect of animation

Active Publication Date: 2019-10-08
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Therefore, the animal's movement cycle will change between the two states. If it cannot be well integrated, the actual effect of the animation will be greatly reduced

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  • Animation-based action prediction generation method and device
  • Animation-based action prediction generation method and device

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Embodiment Construction

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0037] The animation-based motion prediction generation method and device according to the embodiments of the present invention will be described below with reference to the accompanying drawings. figure 1 It is a schematic flowchart of an animation-based motion prediction generation method provided by an embodiment of the present invention.

[0038] For the above-mentioned embodiments, the embodiment of the present invention provides an animation-based motion prediction generation method, such as figure 1 As shown, the animatio...

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Abstract

The invention provides an animation-based action prediction generation method and device, wherein the method comprises the steps of obtaining a current animation frame of a target animation corresponding to a target role; obtaining the current skeleton posture information of the target character and the motion posture information on a preset motion track according to the current animation frame; acquiring a similar action corresponding to the current animation frame and a similarity corresponding to the similar action; obtaining a fusion action according to the similarity and the similar action; obtaining a prediction action at the next moment; and controlling the target animation to simulate the prediction action in the next animation frame. According to the invention, the network learning is carried out on the motion characteristics of an action body with a skeleton structure, such as a human, an animal, etc., in different motion states and the change characteristics between the motion states; and finally, different motion characteristics can be well represented, and the change between different motion states can be naturally fused, so that the advancing animation effect of the people or animals is produced, and the natural effect of the animation effect is ensured.

Description

technical field [0001] The present invention relates to the technical field of computer animation, in particular to an animation-based motion prediction generation method and device. Background technique [0002] In related technologies, the fusion of various motion states of skeletal animation has always been a difficult point in animation production. The difficulty lies in the variability of the animal motion modes described by the skeleton, that is, although the animals will maintain their inherent characteristics in the same motion state. The motion posture (for example, walking will be carried out periodically), but when switching to another motion state, it will move in another way. Therefore, the animal's movement cycle will change between the two states. If it cannot be well integrated, the actual effect of the animation will be greatly reduced. Contents of the invention [0003] The present invention aims to solve one of the technical problems in the related art ...

Claims

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Application Information

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IPC IPC(8): G06T13/40G06K9/62
CPCG06T13/40G06F18/22G06F18/25G06F18/214
Inventor 戴琼海赵天奇
Owner TSINGHUA UNIV
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