Design and Calibration of a 3D High-Resolution Surface Profiling System Using Photometric Stereo

2015 ◽  
Author(s):  
Boren Li ◽  
Tomonari Furukawa
Keyword(s):  
High Resolution ◽  
Light Intensity ◽  
Target Surface ◽  
Photometric Stereo ◽  
Radiometric Calibration ◽  
Geometric Calibration ◽  
Surface Profiling ◽  
Surface Normal ◽  
3D Methods ◽  
Intensity Calibration

This paper presents the design and calibration of a 3D high-resolution surface profiling system using photometric stereo (PS). This system is mainly composed of a high resolution DSLR camera with a macro lens facing perpendicularly to the target surface, and several LEDs tilting towards the surface constrained by a light fixture. With each LED turned on at a time to create one lighting direction, the camera fixed at the same position captures an image. PS with surface normal integration (SNI) are then performed to reconstruct the surface in 3D. Methods of four calibrations for the developed system are proposed to achieve better accuracy, which are the camera radiometric calibration, the camera geometric calibration, the light direction calibration and the light intensity calibration. Experiments have demonstrated that the developed system with the calibration processes could achieve the accuracy in the order of 10 microns.

PanCam: the ‘science eyes’ of the Rosalind Franklin (ExoMars 2022) rover  

2021 ◽  
Author(s):  
Andrew Coates ◽  
Keyword(s):  
High Resolution ◽  
Stereo Pair ◽  
Radiometric Calibration ◽  
3D Vision ◽  
Planetary Protection ◽  
Geometric Calibration ◽  
Life On Mars ◽  
Existence And Stability ◽  
Interface Unit ◽  
First Time

<p>The scientific objectives of the ExoMars Rosalind Franklin rover [1] are designed to answer several key questions in the search for life on Mars. In particular, the unique subsurface drill will address some of these questions for the first time, such as the possible existence and stability of sub-surface organics. PanCam [2] will establish the surface geological and morphological context for the mission, working in collaboration with other context instruments. Here, we describe the PanCam scientific objectives in geology, atmospheric science and 3D vision. We discuss the design of PanCam, which includes a stereo pair of Wide Angle Cameras (WACs), each of which has an 11 position filter wheel, and a High Resolution Camera (HRC) for high resolution investigations of rock texture at a distance. The cameras and electronics are housed in an optical bench that provides the mechanical interface to the rover mast and a planetary protection barrier.  The electronic interface is via the PanCam Interface Unit (PIU), and power conditioning is via a DC-DC converter. PanCam also includes a calibration target mounted on the rover deck for radiometric calibration, fiducial markers for geometric calibration and a rover inspection mirror. Recent simulations [3] show the view from PanCam, the ‘science eyes’ of the Rosalind Franklin rover.</p> <p><strong>References:</strong></p> <p>[1] Vago, J.L., F. Westall, A.J. Coates, et al., Habitability on Early Mars and the Search for Biosignatures with the ExoMars Rover, <em>Astrobiology</em>, 17(6-7), 471-510, doi:10.1089/ast.2016.1533, Jul 2017.</p> <p>[2] Coates, A.J., R. Jaumann, A.D. Griffiths, et al., The PanCam instrument for the ExoMars rover, <em>Astrobiology</em>, 17 (6-7), 511-541, doi: 10.1089/ast.2016.1548, Jul 2017.</p> <p>[3] Miles, H.C., M.D. Gunn and A.J. Coates, Seeing through the ‘Science Eyes’ of the ExoMars Rover, IEEE Computer Graphics & Applications, Applications Department, 40, 71-81, doi: 10.1109/MCG.2020.2970796, Mar-Apr 2020.</p>

scholarly journals Pay Attention to Devils: A Photometric Stereo Network for Better Details

2020 ◽  
Author(s):  
Yakun Ju ◽  
Kin-Man Lam ◽  
Yang Chen ◽  
Lin Qi ◽  
Junyu Dong
Keyword(s):  
Neural Network ◽  
State Of The Art ◽  
Photometric Stereo ◽  
Normal Map ◽  
Surface Normal ◽  
3D Surface ◽  
Surface Reconstructions ◽  
Higher Weights

We present an attention-weighted loss in a photometric stereo neural network to improve 3D surface recovery accuracy in complex-structured areas, such as edges and crinkles, where existing learning-based methods often failed. Instead of using a uniform penalty for all pixels, our method employs the attention-weighted loss learned in a self-supervise manner for each pixel, avoiding blurry reconstruction result in such difficult regions. The network first estimates a surface normal map and an adaptive attention map, and then the latter is used to calculate a pixel-wise attention-weighted loss that focuses on complex regions. In these regions, the attention-weighted loss applies higher weights of the detail-preserving gradient loss to produce clear surface reconstructions. Experiments on real datasets show that our approach significantly outperforms traditional photometric stereo algorithms and state-of-the-art learning-based methods.

Radiometric calibration of IR Fourier transform spectrometers: solution to a problem with the High-Resolution Interferometer Sounder

1988 ◽  
Vol 27 (15) ◽  
pp. 3210 ◽  
Author(s):  
Henry E. Revercomb ◽  
H. Buijs ◽  
Hugh B. Howell ◽  
D. D. LaPorte ◽  
William L. Smith ◽  
...  
Keyword(s):  
Fourier Transform ◽  
High Resolution ◽  
Radiometric Calibration

scholarly journals Improvement and Assessment of the Absolute Positioning Accuracy of Chinese High-Resolution SAR Satellites

2019 ◽  
Vol 11 (12) ◽  
pp. 1465
Author(s):  
Deng ◽  
Zhang ◽  
Cai ◽  
Xu ◽  
Zhao ◽  
...  
Keyword(s):  
High Resolution ◽  
Propagation Delay ◽  
Reference Points ◽  
Calibration Model ◽  
Land Resource ◽  
Positioning Accuracy ◽  
Geometric Calibration ◽  
Atmospheric Propagation ◽  
Absolute Positioning ◽  
The Absolute

In recent years, China has launched YaoGan-13 and GaoFen-3, high-resolution synthetic aperture radar (SAR) satellites that can acquire global high-resolution images. The absolute positioning accuracy of such satellites is important for mapping areas without ground reference points and for automated processing. However, satellites without geometric calibration have poor absolute positioning accuracy, greatly restricting their application (e.g., land resource surveys). Therefore, they cannot meet national demands for high-resolution SAR images with good geometric accuracy. Here, we propose a series of methods to improve the absolute positioning accuracy of YaoGan-13 and GaoFen-3, such as the multiple-image combined calibration strategy and geometric calibration model for a real continuously moving configuration, including consideration of atmospheric propagation delay. Using high-accuracy ground control data collected from different areas, the 2-D and 3-D absolute positioning accuracies of YaoGan-13 and GaoFen-3 were assessed after implementation of the improvement measures. Experimental results showed that, after calibration, the 2-D absolute positioning accuracy of YaoGan-13 and GaoFen-3 are improved from 43.86 m to 2.57 m and from 30.34 m to 4.29 m, respectively. In addition, the 3-D absolute positioning accuracies of YaoGan-13 in plane and elevation are 3.21 m and 2.22 m, respectively. Improving the absolute positioning accuracy of these satellites could broaden the scope of their potential applications in the future.

scholarly journals Deep Photometric Stereo Networks for Determining Surface Normal and Reflectances

2020 ◽  
pp. 1-1
Author(s):  
Hiroaki Santo ◽  
Masaki Samejima ◽  
Yusuke Sugano ◽  
Boxin Shi ◽  
Yasuyuki Matsushita
Keyword(s):  
Photometric Stereo ◽  
Surface Normal
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