Robust Photometric Stereo via Dictionary Learning

10/24/2017
by   Andrew J. Wagenmaker, et al.
0

Photometric stereo is a method that seeks to reconstruct the normal vectors of an object from a set of images of the object illuminated under different light sources. While effective in some situations, classical photometric stereo relies on a diffuse surface model that cannot handle objects with complex reflectance patterns, and it is sensitive to non-idealities in the images. In this work, we propose a novel approach to photometric stereo that relies on dictionary learning to produce robust normal vector reconstructions. Specifically, we develop three formulations for applying dictionary learning to photometric stereo. We propose a preprocessing step that utilizes dictionary learning to denoise the images. We also present a model that applies dictionary learning to regularize and reconstruct the normal vectors from the images under the classic Lambertian reflectance model. Finally, we generalize the latter model to explicitly model non-Lambertian objects. We investigate all three approaches through extensive experimentation on synthetic and real benchmark datasets and observe state-of-the-art performance compared to existing robust photometric stereo methods.

READ FULL TEXT

page 9

page 10

page 11

research
09/30/2017

Robust Photometric Stereo Using Learned Image and Gradient Dictionaries

Photometric stereo is a method for estimating the normal vectors of an o...
research
09/30/2017

Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization

This paper introduces a novel approach to robust surface reconstruction ...
research
01/31/2016

Greedy Deep Dictionary Learning

In this work we propose a new deep learning tool called deep dictionary ...
research
11/02/2017

Concave losses for robust dictionary learning

Traditional dictionary learning methods are based on quadratic convex lo...
research
07/21/2023

Ascertaining the ideality of photometric stereo datasets under unknown lighting

The standard photometric stereo model makes several assumptions that are...
research
04/11/2022

An Optimal Experimental Design Approach for Light Configurations in Photometric Stereo

This paper presents a technique for finding the surface normal of an obj...
research
05/20/2016

X-ray image separation via coupled dictionary learning

In support of art investigation, we propose a new source sepa- ration me...

Please sign up or login with your details

Forgot password? Click here to reset