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使用適應性直方圖均衡化之加速與風格化淺浮雕生成 / Fast and stylized bas-relief generation using adaptive histogram equalization黃嗣心, Huang, Ssu Shin Unknown Date (has links)
浮雕是雕刻藝術中重要的表現方法,藉由在平板上雕刻出高低落差,傳達出豐富的形狀視覺線索,是介於3D雕塑和2D畫作中間的一種物體外形的表現方式。本論文將針對淺浮雕這類型相對高度較低的浮雕技法,將要表達的3D場景壓縮到接近平面但盡可能保留細節。我們使用適應性直方圖均衡化技術去壓縮高度的動態範圍並盡可能強化細節,且經由降低取樣點數量的技巧加速適應性直方圖均衡化的計算,以利於使用者進行互動性自訂風格化。另外依照場景特徵的流向,增加特殊的刻紋去豐富淺浮雕的風格表現。 / Relief is a sculptural technique to express the shape feature on a flat surface. It is an art medium between 3D sculpture and 2D painting. In this thesis, we focus on bas-relief, which is a relatively low relief to compress the depth of 3D scene to a shallow overall depth and preserve details of the shape. We use the adaptive histogram equalization (AHE) to compress the depth range and enhance details, and accelerate the AHE computation by sample reduction, which is in favor of the user interaction of custom stylization. Furthermore, adding special carving patterns according to feature flows of the scene enriches the stylization of the relief generation.
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