THESIS
2016
Abstract
Stop motion is a popular animation technique. However, its traditional way of production is a laborious process. To create the effect of a physical object moving on its own, it requires the animator to manually move the object in small but apparent increments and to press the camera shutter and take one still picture of the object for each increment. In addition, stop-motion animation nowadays not only contains still photographed frames, but also combines still frames with moving scenes capturing continuous motions, in which the animator performs writings, drawings, and some hand gestures such as hand clicks and waves. These moving scenes allow more interactions between the animator and the objects or the scenes. However, to create one moving segment, it requires the animator to perform...[
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Stop motion is a popular animation technique. However, its traditional way of production is a laborious process. To create the effect of a physical object moving on its own, it requires the animator to manually move the object in small but apparent increments and to press the camera shutter and take one still picture of the object for each increment. In addition, stop-motion animation nowadays not only contains still photographed frames, but also combines still frames with moving scenes capturing continuous motions, in which the animator performs writings, drawings, and some hand gestures such as hand clicks and waves. These moving scenes allow more interactions between the animator and the objects or the scenes. However, to create one moving segment, it requires the animator to perform four user operations: two camera shutter pressing and two photo-video mode switching. These operations cost some time and brings distraction to the animator during the capturing process. In this thesis, we propose a video-based capturing approach to create 2D cut-out animations (one type of stop-motion animation) that is capable of animating the real-world objects in a smoother work flow. In our approach, the animator captures both the still frames and moving scenes continuously in one video, without the repeated user operations as in the traditional approach. More importantly, the animator can achieve better time performance, since he or she is not interrupted by the camera operations and is able to stay concentrated during the capturing process. We conducted a user study to demonstrate that our method is efficient and provides smoother capturing experience for novice animators to generate paper cut-out stop-motion animations.
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