Plenoptic Camera
Plenoptic cameras capture both spatial and angular information about light, enabling novel view synthesis and depth estimation from a single image. Current research focuses on improving calibration techniques, particularly for multi-focus systems, developing compact scene representations like Plenoxels and optimized Neural Radiance Fields (NeRFs) for efficient storage and real-time rendering, and refining algorithms that leverage defocus blur for enhanced depth estimation. These advancements are driving progress in 3D photography, augmented and virtual reality, and robotics applications by providing more efficient and accurate methods for capturing and reconstructing 3D scenes.
Papers
Simulation of Plenoptic Cameras
Tim Michels, Arne Petersen, Luca Palmieri, Reinhard Koch
Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
Tim Michels, Arne Petersen, Reinhard Koch
Ray Tracing-Guided Design of Plenoptic Cameras
Tim Michels, Reinhard Koch