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ROBUST FEATURE MATCHING IN TERRESTRIAL IMAGE SEQUENCES

机译:图像序列中的鲁棒特征匹配

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摘要

From the last decade, the feature detection, description and matching techniques are most commonly exploited in various photogrammetric and computer vision applications, which includes: 3D reconstruction of scenes, image stitching for panoramic creation, image classification, or object recognition etc. However, in terrestrial imagery of urban scenes contains various issues, which include duplicate and identical structures (i.e. repeated windows and doors) that cause the problem in feature matching phase and ultimately lead to failure of results specially in case of camera pose and scene structure estimation. In this paper, we will address the issue related to ambiguous feature matching in urban environment due to repeating patterns.
机译:从最近的十年开始,特征检测,描述和匹配技术在各种摄影测量和计算机视觉应用中得到了最广泛的利用,其中包括:场景的3D重建,用于全景创建的图像拼接,图像分类或对象识别等。城市场景的地面图像包含各种问题,其中包括重复且相同的结构(即重复的门窗),这些问题会导致在特征匹配阶段出现问题,并最终导致结果失败,尤其是在摄像机姿势和场景结构估计的情况下。在本文中,我们将解决由于重复模式而导致的城市环境中特征模糊匹配的问题。

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