Uncalibrated Photometric Stereo Under Natural Illumination

Uncalibrated Photometric Stereo Under Natural Illumination
复制标题

DOI:
10.1109/cvpr.2018.00310
复制
发表时间:
2018-06
期刊:
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
影响因子:
--
通讯作者:
Zhipeng Mo;Boxin Shi;Feng Lu;Sai-Kit Yeung;Y. Matsushita
Zhipeng Mo;Boxin Shi;Feng Lu;Sai-Kit Yeung;Y. Matsushita
中科院分区:
其他
文献类型:
--
作者:
Zhipeng Mo;Boxin Shi;Feng Lu;Sai-Kit Yeung;Y. Matsushita

文献摘要

被引文献

相似文献

本文提出了一种在未知自然光照条件下,不需要任何标定物的光度立体测量方法。为了解决这个具有挑战性的问题,我们建议使用一个等效的定向照明模型的小表面补丁组成的缓慢变化的法线,并解决每个补丁到一个任意的旋转模糊。我们的方法连接所得到的补丁和统一的局部模糊性的全球旋转一个通过角距离传播定义在整个表面。在应用可积性约束后,我们的最终解只包含一个二元二义性,可以很容易地去除。使用合成和真实世界的数据集的实验表明,我们的方法提供了甚至可比的结果校准的方法。
This paper presents a photometric stereo method that works with unknown natural illuminations without any calibration object. To solve this challenging problem, we propose the use of an equivalent directional lighting model for small surface patches consisting of slowly varying normals, and solve each patch up to an arbitrary rotation ambiguity. Our method connects the resulting patches and unifies the local ambiguities to a global rotation one through angular distance propagation defined over the whole surface. After applying the integrability constraint, our final solution contains only a binary ambiguity, which could be easily removed. Experiments using both synthetic and real-world datasets show our method provides even comparable results to calibrated methods.