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Dramatic Improvements to Feature Based Stereo

机译:基于特征的立体声的戏剧性改进

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The camera registration extracted from feature based stereo is usually considered sufficient to accurately localize the 3D points. However, for natural scenes the feature localization is not as precise as in man-made environments. This results in small camera registration errors. We show that even very small registration errors result in large errors in dense surface reconstruction. We describe a method for registering entire images to the inaccurate surface model. This gives small, but crucially important improvements to the camera parameters. The new registration gives dramatically between dense surface reconstruction.
机译:从特征的立体声提取的相机注册通常被认为足以准确地本地化3D点。但是,对于自然场景,特征本地化与人造环境中的特征定位不那样精确。这导致小型摄像机注册错误。我们表明即使是非常小的登记误差也导致致密表面重建中的大误差。我们描述了一种将整个图像注册到不准确的表面模型的方法。这给了相机参数给出了很小的,但很重要的改进。新的注册在致密的表面重建之间发出显着。

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