编码孔径相机获取优化全景图的新方法

提出一种利用编码孔径相机拍摄照片并进行全景图拼接的方法. 首次将深度相机和全景摄影结合起来，利用编码孔径相机获得的场景深度信息，可得到只含感兴趣部分的全景图以及细节清晰的全聚焦全景图. 与传统直接将源照片按照几何分布拼接在一起的全景图拼接方法相比，本文方法能够有效去除场景中近景物体在全景拼接中的错误，避免中距离物体破坏远景场景的完整性，同时获得全景图的模糊部分进行优化. 在这个框架下，运用本文方法对各种全景图拼接进行了大量实验，展示了拼接的过程以及拼接结果，结果表明本文提出的计算框架能够有效达到优化全景图的目的. 

New Method to Generate Optimized Panoramas by Using Aperture-Coded Camera

A method was proposed to optimize panorama stitching by using photos from an aperture-coded camera. This method generated an optimized panorama, which not only saved the good features of classical panorama, but also can remove the foreground of scene and the blur of image to generate a perfect scene with a large field of view. This paper combined depth camera and panorama photography for the first time. The proposed method used an aperture-coded camera to capture high-resolution photos, extracted the depth of the scene by using which to remove the foreground objects and obtained a picture with interested scenes. Meanwhile, based on the depth information, the image blur can be removed to generate an all-focus panorama. Compared to the classical method of panorama stitching which directly stitch source photos, the proposed method can avoid contradiction between close and far range object in panorama stitching, can avoid unrelated objects mixing with interested scene, and can generate a panorama sharp everywhere. Many experiments are performed, including cylindrical, spherical and multi-viewpoint panorama stitching. The experiment results are shown in this paper, and they prove the proposed method effective.