基于多相机的HDR全景图像特征点算法

J. Yeong
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引用次数: 2

摘要

随着数码相机、单反等各种相机的普及,以及人们对高清晰度和高分辨率图像的兴趣日益浓厚,在各种方法中,人们正在研究一种综合多种图像的方法。高动态范围(HDR)图像比普通数字图像存储更宽范围的光曝光。因此,它可以非常准确地存储现实生活中光源所表达的特定场景所固有的光强。本研究提出特征点合成算法,通过对多个多帧图像识别的特征点进行分类,提高HDR全景识别方法(算法)在识别和协调层面的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-camera based Images through Feature Points Algorithm for HDR Panorama
With the spread of various kinds of cameras such as digital cameras and DSLR and a growing interest in high-definition and high-resolution images, a method that synthesizes multiple images is being studied among various methods. High Dynamic Range (HDR) images store light exposure with even wider range of number than normal digital images. Therefore, it can store the intensity of light inherent in specific scenes expressed by light sources in real life quite accurately. This study suggests feature points synthesis algorithm to improve the performance of HDR panorama recognition method (algorithm) at recognition and coordination level through classifying the feature points for image recognition using more than one multi frames.
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