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Evaluation of methods for approximating shapes used to synthesize 3D solid textures

机译:评估用于合成3D实体纹理的近似形状的方法

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摘要

In modern computer graphics applications, textures play an important role in conveying the appearance of real-world materials. But while surface appearance can often be effectively captured with a photograph, it is difficult to use example imagery to synthesize fully three-dimensional (3D) solid textures that are perceptually similar to their inputs. Specifically, this research focuses on human perception of 3D solid textures composed of aggregate particles in a binding matrix. Holding constant an established algorithm for approximating particle distributions, we examine the problem of estimating particle shape. We consider four methods for approximating plausible particle shapes---including two methods of our own contribution. We compare the performance of these methods under a variety of input conditions using automated, perceptually motivated metrics, as well as a psychophysical experiment. In the course of assessing the relative performance of the four algorithms, we also evaluate the reliability of the automated metrics in predicting the results of the experiment.
机译:在现代计算机图形应用程序中,纹理在传达真实材料的外观方面起着重要作用。但是,尽管通常可以用照片有效地捕获表面外观,但是很难使用示例图像来合成在感觉上与输入相似的完全三维(3D)实体纹理。具体来说,这项研究的重点是人类对3D实体纹理的感知,这些纹理由绑定矩阵中的聚集粒子组成。保持已建立的近似粒子分布的算法不变,我们研究了估计粒子形状的问题。我们考虑了四种近似合理颗粒形状的方法-包括我们自己贡献的两种方法。我们使用自动的,基于动机的指标以及心理物理实验,比较了这些方法在各种输入条件下的性能。在评估这四种算法的相对性能的过程中,我们还评估了自动化指标在预测实验结果中的可靠性。

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