Geometry reconstruction and fusion for large-scale, featureless, and specular surfaces

Hongkai Ding; Jianjun Yi

doi:10.1117/12.3033553

13 June 2024 Geometry reconstruction and fusion for large-scale, featureless, and specular surfaces

Hongkai Ding, Jianjun Yi

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131801K (2024) https://doi.org/10.1117/12.3033553
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

3D reconstruction is greatly important for perceptual understanding of applications in robotics, computer graphics, and human-computer interaction. Though tremendous researches have been carried out for geometry reconstruction, there are still many challenges to cope with the large-scale, featureless, and specular surfaces. In this paper, we are motivated to propose a unified framework of geometry reconstruction and fusion for surfaces with the above characteristics. For the geometry reconstruction of specular surfaces, we present a method combining Stereo Phase Measuring Deflectometry (SPMD) with modal wavefront reconstruction to retrieve a reliable geometric surface. For the geometry fusion of largescale featureless surfaces, we put forward an offline calibration approach exploiting the Structure-from-Motion (SfM) to merge point clouds reconstructed from different viewpoints. To evaluate the effectiveness of our method, we build a specific SPMD camera system, design a large-scale calibration board, and set up a test scene with an industrial robot and car body. The experiments show that our method can achieve a good performance in terms of reconstruction accuracy of around 0.02mm and fusion accuracy of around 2mm for a large surface.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongkai Ding and Jianjun Yi "Geometry reconstruction and fusion for large-scale, featureless, and specular surfaces", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131801K (13 June 2024); https://doi.org/10.1117/12.3033553

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KEYWORDS

Calibration

Cameras

Feature fusion

Imaging systems

Wavefront reconstruction

Mirrors

Point clouds

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