The Synchronisation Of Motion Capture Results In The Animation Character Reinforcement Process

Abstract

Animation is a collection of frames that express a motion activity. The animation consists of actors, characters and performance components that present a story — one of the technologies in making an animation with motion capture. The results of catching motion in the form of motion record data are then synchronised to animated characters. However, the problem is that there are difficulties in synchronising animated characters with the results of catching motion so that the motion can be more subtle. On capture, this motion uses Kinect as a motion capture sensor for actors. The results of this capture then become motion data. The synchronisation of motion data from the motion capture results with Kinect then adjusts the joint body character points, frames, time with three-dimensional (3D) animated characters according to the flow of character actors. This synchronisation is adjusted to the recording of character movements starting from the motion of humans, animals and objects that invite motion activity with motion capture methods both marked and without markers. In making 3D, there are models of giving a body or bone frame (rigging) after giving the body frames is done by giving visual effects, lighting, rendering, and compositing. Rigging is the installation of bones to characters used to place and manipulate animated controls on characters that will be animated to produce the desired gesture. Animation synchronisation is to create animated characters manually; the file is used for. The synchronisation is Biovision Hierarchy (BVH) with gesture giving movement without having to save the keyboard in every animation movement manually.

Synchronization of Dance Motion Data Acquisition using Motion Capture

“…The shape of the sensor Kinect as illustrated in Figure 1 below is a long box that has support with a shaft that can rotate and can be placed in various positions. [11], [12].…”

“…Where on the front makes the shape of the front of the character such as the length of the body, legs, hands, head, and make the eyes and mouth, while the side makes a character posture consisting of the shape of the hands, feet, chest shape, and rear body shape. The results of the arrest of the actor (BVH) are then made an adjustment process to synchronize the motion to the animated character, starting from the body's reinforcement settings, the rhythm of motion, time and suitability of the motion [11], [12].…”

3D Communication of Animated Character Image Visualization Based on Digital Media Perspectives

“…In reality, the limited number of talents with certain professional standards and artistic attainments has led to China's stagnation in the field of animation design, seriously lagging behind European and American countries. At present, although the three-dimensional animation software led by MAYA and 2DMax is more successful, it requires users to have a certain level of professionalism to achieve proficiency [15][16]. Therefore, industry experts, scientists, and technicians hope that animation production technology can be further improved in a more intelligent, automated direction [17][18].…”

Practice and Exploration of Blended Teaching Based on VR Animation Laws of Motion Course

“…Zhang, Z. et al put forward a framework for the creation of demonstrative teaching animation based on human-computer interaction and intelligent algorithms, which is applied to the blended The teaching of the experimental class shows that the proposed framework can effectively create a virtual teacher for course teaching, and the students also recognize the animation demonstration of the virtual teacher, which can be easy for the students to observe and imitate, and achieve good teaching effects [12]. Sutopo, J. et al pointed out that motion capture is one of the core techniques in animation production, which captures movements in the form of motion data recording, which in turn is synchronized with the animation [13]. Eom, H. et al proposed a generative motion decomposition framework to solve the complex character motion capture problem and experimentally confirmed the effectiveness of the proposed framework, which can provide great flexibility for complex motion decomposition followed by synthesis [14].…”