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Image and Depth from a Conventional Camera with a Coded Aperture

机译:具有编码光圈的传统相机的图像和深度

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A conventional camera captures blurred versions of scene information away from the plane of focus. Camera systems have been proposed that allow for recording all-focus images, or for extracting depth, but to record both simultaneously has required more extensive hardware and reduced spatial resolution. We propose a simple modification to a conventional camera that allows for the simultaneous recovery of both (a) high resolution image information and (b) depth information adequate for semi-automatic extraction of a layered depth representation of the image.rnOur modification is to insert a patterned occluder within the aperture of the camera lens, creating a coded aperture. We introduce a criterion for depth discriminability which we use to design the preferred aperture pattern. Using a statistical model of images, we can recover both depth information and an all-focus image from single photographs taken with the modified camera. A layered depth map is then extracted, requiring user-drawn strokes to clarify layer assignments in some cases. The resulting sharp image and layered depth map can be combined for various photographic applications, including automatic scene segmentation, post-exposure refocusing, or re-rendering of the scene from an alternate viewpoint.
机译:常规相机从焦点平面捕获场景信息的模糊版本。已经提出了允许记录全焦点图像或提取深度但同时记录两者的照相机系统需要更广泛的硬件和降低的空间分辨率。我们建议对传统相机进行简单修改,以允许同时恢复(a)高分辨率图像信息和(b)深度信息,足以半自动提取图像的分层深度表示.rn我们的修改是插入镜头光圈内的图案化遮挡物,形成编码光圈。我们介绍了一种深度可判别性准则,该准则用于设计首选的光圈图案。使用图像的统计模型,我们可以从修改后的相机拍摄的单张照片中恢复深度信息和全焦点图像。然后提取分层的深度图,在某些情况下需要用户绘制笔划以阐明层分配。可以将所得的清晰图像和分层的深度图进行组合,以用于各种摄影应用程序,包括自动场景分割,曝光后重新聚焦或从备用视点重新渲染场景。

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