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Shape Recovery from Turntable Image Sequence

机译:从转盘图像序列恢复

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This paper makes use of both feature points and silhouettes to deliver fast 3D shape recovery from a turntable image sequence. The algorithm exploits object silhouettes in two views to establish a 3D rim curve, which is defined with respect to the two frontier points arising from two views. The images of this 3D rim curve in the two views are matched using cross correlation technique with silhouette constraint incorporated. A 3D planar rim curve is then reconstructed using point-based reconstruction method. A set of rims enclosing the object can be obtained from an image sequence captured under circular motion. The proposed method solves the problem of reconstruction of concave object surface, which is usually left unresolved in general silhouette-based reconstruction methods. In addition, the property of the organized reconstructed rim curves allows fast surface extraction. Experimental results with real data are presented.
机译:本文利用了特征点和剪影来从转盘图像序列提供快速的3D形状恢复。该算法在两个视图中利用对象剪影以建立3D轮辋曲线,该曲线是关于两个视图产生的两个前沿的边缘曲线。两个视图中的该3D轮辋曲线的图像使用互相关技术与具有剪影约束的互相关技术匹配。然后使用基于点的重建方法重建3D平面边缘曲线。可以从圆周运动下捕获的图像序列获得包围对象的一组轮辋。所提出的方法解决了凹形物体表面的重建问题,其通常在一般轮廓的重建方法中尚未解决。此外,有组织的重建轮辋曲线的性质允许快速表面提取。提出了实验结果。

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