Multi-view stereo beyond Lambert

Multi-view stereo beyond Lambert
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DOI:
10.1109/cvpr.2003.1211351
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发表时间:
2003-06
期刊:
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
影响因子:
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通讯作者:
Hailin Jin;Stefano Soatto;A. Yezzi
Hailin Jin;Stefano Soatto;A. Yezzi
中科院分区:
其他
文献类型:
--
作者:
Hailin Jin;Stefano Soatto;A. Yezzi

文献摘要

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我们考虑的问题,估计的形状和辐射的对象从校准的一组视图的假设下,对象的反射率是非朗伯的。与传统立体不同,我们不通过比较图像来解决对应问题。相反,我们利用空间中的表面的辐射张量场的秩约束,并使用它来定义每个图像和底层模型之间的差异度量。我们的方法会自动返回场景的辐射估计,沿着其形状,由一个密集的表面表示。前者可用于生成捕捉场景的非朗伯外观的新颖视图。
We consider the problem of estimating the shape and radiance of an object from a calibrated set of views under the assumption that the reflectance of the object is non-Lambertian. Unlike traditional stereo, we do not solve the correspondence problem by comparing image-to-image. Instead, we exploit a rank constraint on the radiance tensor field of the surface in space, and use it to define a discrepancy measure between each image and the underlying model. Our approach automatically returns an estimate of the radiance of the scene, along with its shape, represented by a dense surface. The former can be used to generate novel views that capture the non-Lambertian appearance of the scene.