| Summary: | 博士 === 國立成功大學 === 資訊工程學系 === 103 === This dissertation introduces {em double-sided 2.5D graphics}, aiming at enriching the visual appearance when manipulating conventional 2D graphical objects in 2.5D worlds.
By attaching a back texture image on a single-sided 2D graphical object, we can enrich the surface and texture detail on 2D graphical objects and improve our visual experience when manipulating and animating them.
A family of novel operations on 2.5D graphics, including rolling, twisting, and folding, are proposed in this work, allowing users to efficiently create compelling 2.5D visual effects.
Very little effort is needed from the user's side.
In our experiment, various creative designs on double-sided graphics were worked out by the recruited participants including a professional artist, which show and demonstrate the feasibility and applicability of our proposed method.
Furthermore, we addresses a challenging single-view modeling and animation problem with cartoon images.
Our goal is to model the hairs in a given cartoon image with consistent layering and occlusion, so that we can produce various visual effects from just a single image.
We propose a novel 2.5D modeling approach to deal with this problem.
Given an input image, we first segment the hairs of the cartoon character into regions of hair strands.
Then, we apply our novel layering metric, which is derived from the Gestalt psychology, to automatically optimize the depth ordering among the hair strands.
After that, we employ our hair completion method to fill the occluded part of each hair strand, and create a 2.5D model of the cartoon hair.
By using this model, we can produce various visual effects, e.g., we develop a simplified fluid simulation model to produce wind blowing animations with the 2.5D hairs.
To further demonstrate the applicability and versatility of our method, we compare our results with real cartoon hair animations, and also apply our model to produce a wide variety of hair manipulation effects, including hair editing and hair braiding.
In the end, we present a smooth cyclic variable-speed Repeated Asymmetric Patterns (RAPs) animation model that emulates orthogonal advancing waves from a geometry-based flow representation. It enables dense accurate visualization of complex real world flows using animated streamlines of an elegant placement coupled with visually appealing orthogonal advancing waves. The animation model first performs velocity (magnitude) integral luminance transition on individual streamlines. Then, an inter-streamline synchronization in luminance varying along the tangential direction is imposed. Next, tangential flow streaks are constructed using evenly-spaced hue differing in the orthogonal direction. In addition, an energy-decreasing strategy is proposed that adopts an iterative yet efficient procedure for determining the luminance phase and hue of each streamline in HSL color space. To increase the contrast between flow streaks, an adaptive luminance interleaving in the direction perpendicular to the flow is further applied. We demonstrate the effectiveness of the animation model using some synthetic and real flows.
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