Blur aware metric depth estimation with multi-focus plenoptic cameras

Lens-Based Depth Estimation for Multi-focus Plenoptic Cameras

Multi-focus portable plenoptic camera devices provide a reasonable tradeoff between spatial and angular resolution while enlarging the depth of field of a standard camera. Many applications using the data captured by these camera devices require or benefit from correspondences established between the single microlens images. In this work we propose a lens-based depth estimation scheme based on ...

Depth of Field in Plenoptic Cameras

Certain new algorithms used by plenoptic cameras require focused microlens images. The range of applicability of these algorithms therefore depends on the depth of field of the relay system comprising the plenoptic camera. We analyze the relationships and tradeoffs between camera parameters and depth of field and characterize conditions for optimal refocusing, stereo, and 3D imaging.

Plenoptic Cameras

Depth map estimation for plenoptic images

Depth map estimation is a prerequisite for useful plenoptic rendering algorithms, such as all-in-focus rendering and depth-based matting. We provide a simple GPU-based algorithm that estimates the depth of each pixel in the rendered image as well as the uncertainty of that estimate. We perform several rendering experiments using depth information. Finally, explore what factors harm the accuracy...

Resolution in Plenoptic Cameras

Derivation and analysis of sampling patterns of traditional and focused plenoptic cameras show the former rotates pixels π/2 in phase space, while the latter does not. These results are interpreted regarding the cameras’ spatial resolution. © 2009 Optical Society of America OCIS codes: (080.2730) Matrix methods in paraxial optics, (040.1490) Cameras.