WISHED: Wavefront imaging sensor with high resolution and depth ranging

Yicheng Wu, Fengqiang Li, F. Willomitzer, A. Veeraraghavan, O. Cossairt
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引用次数: 7

Abstract

Phase-retrieval based wavefront sensors have been shown to reconstruct the complex field from an object with a high spatial resolution. Although the reconstructed complex field encodes the depth information of the object, it is impractical to be used as a depth sensor for macroscopic objects, since the unambiguous depth imaging range is limited by the optical wavelength. To improve the depth range of imaging and handle depth discontinuities, we propose a novel three-dimensional sensor by leveraging wavelength diversity and wavefront sensing. Complex fields at two optical wavelengths are recorded, and a synthetic wavelength can be generated by correlating those wavefronts. The proposed system achieves high lateral and depth resolutions. Our experimental prototype shows an unambiguous range of more than 1,000 x larger compared with the optical wavelengths, while the depth precision is up to 9µm for smooth objects and up to 69µm for rough objects. We experimentally demonstrate 3D reconstructions for transparent, translucent, and opaque objects with smooth and rough surfaces.
wish:高分辨率深度测距波前成像传感器
基于相位恢复的波前传感器已被证明能够以高空间分辨率重建物体的复杂场。虽然重建的复场编码了物体的深度信息,但由于其清晰的深度成像范围受光波长的限制,无法用于宏观物体的深度传感器。为了提高成像深度范围和处理深度不连续,我们提出了一种利用波长分集和波前传感的新型三维传感器。记录两个光学波长的复杂场,并通过将这些波前关联产生合成波长。该系统具有较高的横向分辨率和深度分辨率。我们的实验原型显示,与光学波长相比,其精确范围超过1000倍,而对于光滑物体的深度精度高达9 μ m,对于粗糙物体的深度精度高达69 μ m。我们通过实验演示了具有光滑和粗糙表面的透明,半透明和不透明物体的3D重建。
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