An improved photometric stereo through distance estimation and light vector optimization from diffused maxima region
| Autor: | Jiuai Sun, Lyndon N. Smith, Melvyn L. Smith, Jahanzeb Ahmad |
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| Rok vydání: | 2014 |
| Předmět: |
Pixel
Computer science business.industry 3D reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Geometric shape Metrology Vector optimization Photometric stereo Artificial Intelligence Signal Processing Computer vision Computer Vision and Pattern Recognition Limit (mathematics) Artificial intelligence business Scale (map) Software ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Pattern Recognition Letters. 50:15-22 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/j.patrec.2013.09.005 |
| Popis: | Although photometric stereo offers an attractive technique for acquiring 3D data using low-cost equipment, inherent limitations in the methodology have served to limit its practical application, particularly in measurement or metrology tasks. Here we address this issue. Traditional Photometric Stereo assumes that lighting directions at every pixel are the same, which is not usually the case in real applications, and especially where the size of object being observed is comparable to the working distance. Such imperfections of the illumination may make the subsequent reconstruction procedures used to obtain the 3D shape of the scene prone to low frequency geometric distortion and systematic error (bias). Also, the 3D reconstruction of the object results in a geometric shape with an unknown scale. To overcome these problems a novel method of estimating the distance of the object from the camera is developed, which employs photometric stereo images without using |
| Databáze: | OpenAIRE |
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