微透鏡陣列實現全景圖像用於微結構之觀測

Abstract

本論文演示了一微成像系統，可採集微結構的表面形貌並利用數位計算重建三維立體影像。簡言之，本系統利用微透鏡陣列和光學顯微鏡以及光偵測器擷取三維景像的元素影像，其後經由源自幾何光學的模擬演算法，模傲光學重建的機制，在計算機上重建出三維景像的立體畫素。其中，重建之立體畫素皆由光偵測器記錄的元素二維畫素計算所得。而顯示用的微透鏡陣列上不同視點觀察到的影像，亦可藉由模擬針孔微透鏡陣列進一步演算重建，即假想光束從逆方向放射，此演算法奠基於物理上光線的運作道理，特別是光學重建部份。此外，為了確認演算法，也展示三維視覺與立體畫素重建的實驗結果，與成像系統互相驗證表現。

In this thesis a three-dimensional (3D) imaging technique that can sense a 3D micro-object and computationally reconstruct it as a 3D volumetric image is demonstrated. Visualization of the 3D scene is carried out by obtaining elemental images optically using a pickup microlens array associated with an optical microscope and a light detector array. To reconstruct the volume pixels of the scene, it is accomplished by computationally simulating optical reconstruction according to geometrical optics. The entire pixels of the recorded elemental images contribute to volumetric reconstruction of the 3D scene. Images displayed at arbitrary viewpoints from the display microlens array are computed and reconstructed by back propagating the elemental images through a computer synthesized pinhole microlens array. The algorithm based on the nature of optical reconstruction is applied. We present experimental results of 3D image sensing and volume pixel reconstruction to test and verify the performance of the algorithm and the imaging system.