Depth From a Polarisation + RGB Stereo Pair

Dizhong Zhu, William A. P. Smith; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 7586-7595

Abstract


In this paper, we propose a hybrid depth imaging system in which a polarisation camera is augmented by a second image from a standard digital camera. For this modest increase in equipment complexity over conventional shape-from-polarisation, we obtain a number of benefits that enable us to overcome longstanding problems with the polarisation shape cue. The stereo cue provides a depth map which, although coarse, is metrically accurate. This is used as a guide surface for disambiguation of the polarisation surface normal estimates using a higher order graphical model. In turn, these are used to estimate diffuse albedo. By extending a previous shape-from-polarisation method to the perspective case, we show how to compute dense, detailed maps of absolute depth, while retaining a linear formulation. We show that our hybrid method is able to recover dense 3D geometry that is superior to state-of-the-art shape-from-polarisation or two view stereo alone.

Related Material


[pdf]
[bibtex]
@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Dizhong and Smith, William A. P.},
title = {Depth From a Polarisation + RGB Stereo Pair},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}