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作 者:秦胜男 陆彦婷 Qin Shengnan;Lu Yanting(Nanjing Institute of Astronomical Optics&Technology,Chinese Academy of Sciences,Nanjing 210042,Jiangsu,China;CAS Key Laboratory of Astronomical Optics&Technology,Nanjing Institute of Astronomical Optics&Technology,Nanjing 210042,Jiangsu,China;University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院南京天文光学技术研究所,江苏南京210042 [2]中国科学院天文光学技术重点实验室(南京天文光学技术研究所),江苏南京210042 [3]中国科学院大学,北京100049
出 处:《激光与光电子学进展》2023年第24期151-161,共11页Laser & Optoelectronics Progress
基 金:国家自然科学基金面上项目(11873069)。
摘 要:对于分布在曲面物体表面的纹理图案,为方便全面展示和后续使用,常需要将其从曲面表面提取出来并展平。因此,提出基于光场相机的曲面纹理展平方案,利用聚焦型光场相机获得高分辨曲面纹理图像和无需额外配准的深度图,并针对此方案设计曲面纹理展平算法。该算法将曲面纹理图像划分为多个有重叠的局部纹理图像,基于拟合平面法向量对局部纹理失真进行校正,最后将校正后的局部纹理图像拼接为完整的展平纹理图像。经仿真实验和真实实验验证,所提曲面纹理展平算法可以有效展平不同曲面上分布的多种纹理,并且在纹理图像质量差异和深度测量误差方面具备一定的鲁棒性。For texture patterns distributed on the curved surfaces of objects,it is often necessary to extract and flatten the texture patterns from the curved surfaces for the purpose of comprehensive display and subsequent usage.Therefore,we suggest a curved texture flattening scheme based on the light field camera,especially the focused light field camera,which can provide a high-resolution texture image and corresponding depth map without additional registrations.A curved texture flattening algorithm is designed for this scheme.The algorithm divides the curved texture image into multiple overlapping local texture images,corrects the local texture distortion based on the normal vector of the fitted plane for each local texture image,and finally stitches the corrected local texture images into a completely flattened texture image.Simulated and real experiments reveal that the proposed curved texture flattening algorithm can effectively flatten a variety of texture patterns distributed on different curved surfaces,and the algorithm has certain robustness on the different image quality of texture images and the errors of the depth measurements.
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