[POSTER]增强DR系统鲁棒性的研究:背景绘制排序模型

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI:10.1109/ISMAR.2015.53

Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Akira Kojima

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引用次数: 1

摘要

提出了一种盲目预测补绘图像质量的方法，通过实时用背景纹理代替补绘来去除不需要的物体，从而提高了消弱真实感(DR)的鲁棒性。该方法从绘制的图像特征映射到主观图像质量分数，而不需要参考图像。它使更复杂的背景纹理应用于DR。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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[POSTER] Toward Enhancing Robustness of DR System: Ranking Model for Background Inpainting

A method for blindly predicting inpainted image quality is proposed for enhancing the robustness of diminished reality (DR), which uses inpainting to remove unwanted objects by replacing them with background textures in real time. The method maps from inpainted image features to subjective image quality scores without the need for reference images. It enables more complex background textures to be applied to DR.

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2015 IEEE International Symposium on Mixed and Augmented Reality

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