Linear Interpolation Transition of Character Animation for Immediate 3D Response to User Motion

Abstract

The purpose of this research is to study methods for performing transition that have visual representation of corresponding animations with no bounce in subsequently recognized user information when attempting to interact with a virtual 3D character in real-time using user motion. If the transitions of the animation are needed owing to a variety of external environments, continuous recognition of user information is required to correspond to the motion. The proposed method includes linear interpolation of the transition using cross-fades and blending techniques. The normalized playing time of the source animation was utilized for automatically calculating the transition interpolation length of the target animation and also as the criteria in selecting the crossfades and blending techniques. In particular, in the case of blending, the weighting value based on the degree of similarity between two animations is used as a blending parameter. Accordingly, transitions for visually excellent animation are performed on interactive holographic projection systems.

SIBI (Sign System Indonesian Language) Text-to-3D Animation Translation Mobile Application

“…Furthermore, from the 100 results, a 95% confidence interval was calculated to find the actual execution time value interval. The 95% confidence interval results for each process successfully met the requirements to react instantaneously based on [23], which has an execution time of under 100 ms. The results of the execution time test can be seen in Table VII.…”

“…Linear interpolation, also known as LERP, is the method to interpolate the positions and rotation values from the last frame of a word animation to the first frame of the following word animation linearly. It has the advantages of easy implementation and short execution time as the animation method traditionally used in animation [23]. Linear interpolation is a parametric curve defined as a straight line function can be seen in the following equation 2:…”