Lensless 3D Imaging Using Mask-Based Cameras
Lensless 3D Imaging Using Mask-Based Cameras
复制标题
使用基于掩模的相机进行无镜头 3D 成像
DOI：
10.1109/icassp.2018.8462499
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
M. Salman Asif
中科院分区：
文献类型：
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作者：
M. Salman Asif
最近，编码掩模已被用来演示一种薄型无镜头相机 FlatCam，其中掩模直接放置在裸露图像传感器的顶部。在本文中，我们提出了一种成像模型和算法，用于从单个或多个 FlatCam 联合估计场景中的深度和强度信息。我们使用光场表示对 3D 场景到传感器的映射进行建模，其中来自不同深度的光线产生不同的调制模式。我们提出了一种贪婪深度追踪算法来搜索 3D 体积并估计相机视场内每个像素的深度和强度。我们提供仿真结果来分析我们提出的模型和算法在不同 FlatCam 设置下的性能。
Recently, coded masks have been used to demonstrate a thin form-factor lensless camera, FlatCam, in which a mask is placed immediately on top of a bare image sensor. In this paper, we present an imaging model and algorithm to jointly estimate depth and intensity information in the scene from a single or multiple FlatCams. We use a light field representation to model the mapping of 3D scene onto the sensor in which light rays from different depths yield different modulation patterns. We present a greedy depth pursuit algorithm to search the 3D volume and estimate the depth and intensity of each pixel within the camera field-of-view. We present simulation results to analyze the performance of our proposed model and algorithm with different FlatCam settings.