Recent methods for image-based modeling and rendering

Darius Burschka, Gregory Hager, Z. Dodds, Martin Jägersand, Dana Cobzas, Keith Yerex
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引用次数: 34

Abstract

A long-standing goal in image-based modeling and rendering is to capture a scene from camera images and construct a sufficient model to allow photo-realistic rendering of new views. With the confluence of computer graphics and vision, the combination of research on recovering geometric structure from un-calibrated cameras with modeling and rendering has yielded numerous new methods. Yet, many challenging issues remain to be addressed before a sufficiently general and robust system could be built to (for instance) allow an average user to model their home and garden from camcorder video. This tutorial aims to give researchers and students in computer graphics a working knowledge of relevant theory and techniques covering the steps from real-time vision for tracking and the capture of scene geometry and appearance, to the efficient representation and real-time rendering of image-based models. It also includes hands-on demos of real-time visual tracking, modeling and rendering systems.
基于图像的建模和渲染的最新方法
基于图像的建模和渲染的一个长期目标是从相机图像中捕获场景,并构建一个足够的模型,以允许对新视图进行逼真的渲染。随着计算机图形学和视觉技术的融合,将未标定相机的几何结构恢复与建模和绘制相结合的研究产生了许多新的方法。然而,在建立一个足够通用和强大的系统(例如)允许普通用户从摄像机视频中模拟他们的家庭和花园之前,许多具有挑战性的问题仍有待解决。本教程旨在为计算机图形学的研究人员和学生提供相关理论和技术的工作知识,涵盖从实时视觉跟踪和捕获场景几何形状和外观的步骤,到基于图像的模型的有效表示和实时渲染。它还包括实时视觉跟踪、建模和渲染系统的实际演示。
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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