3D points localization using defocused images
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所属单位：无人机研究院
发表刊物：Proc. - IEEE Int. Conf. Inf. Reuse Integr. Data Sci., IRI
摘要：3D points reconstruction has attracted increasing attentions both in computer vision and robotic intelligence areas. However, the real depth measurement still much relies on depth measurement instruments. Although many measurement methods for depth exist, they usually need additional instruments which always increase the cost of the measurement system. To better localize the position of 3D points without use of other instruments, a direct method is proposed which acquires depth from defocus of current images in this paper. The method utilizes the property of camera lens system and mechanism of SFM to remove the ambiguity of structure scale and the relative error between these 3D points. In addition, a multiple images setting for improving the robustness of depth estimation is proposed which can further eliminate depth error from some kinds of nature noises. Experiments on the real scene are implemented, which shows that the proposed method outperforms the ordinary 3D points localization method. © 2019 IEEE.
是否译文：否
发表时间：2019-07-01
合写作者：Wang, Dongzhen
通讯作者：黄大庆