219 citations · 262 across the 9 of their papers we have counts for
11 papers
Simulation of Plenoptic Cameras
Tim Michels, Arne Petersen, Luca Palmieri +1
Plenoptic cameras enable the capturing of spatial as well as angular color information which can be used for various applications among which are image refocusing and depth calcula…
Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
Tim Michels, Arne Petersen, Reinhard Koch
Camera calibration methods usually consist of capturing images of known calibration patterns and using the detected correspondences to optimize the parameters of the assumed camera…
Ray Tracing-Guided Design of Plenoptic Cameras
Tim Michels, Reinhard Koch
The design of a plenoptic camera requires the combination of two dissimilar optical systems, namely a main lens and an array of microlenses. And while the construction process of a…
Learning Stixel-based Instance Segmentation
Monty Santarossa, Lukas Schneider, Claudius Zelenka +3
Stixels have been successfully applied to a wide range of vision tasks in autonomous driving, recently including instance segmentation. However, due to their sparse occurrence in t…
An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCT
Stefan Reinhold, Timo Damm, Sebastian Büsse +3
Osteoporosis is a skeletal disorder that leads to increased fracture risk due to decreased strength of cortical and trabecular bone. Even with state-of-the-art non-invasive assessm…
MorphoCluster: Efficient Annotation of Plankton images by Clustering
Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
In this work, we present MorphoCluster, a software tool for data-driven, fast and accurate annotation of large image data sets. While already having surpassed the annotation rate o…
DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction
Yuan Gao, Robert Bregovic, Reinhard Koch +1
The Image-Based Rendering (IBR) approach using Shearlet Transform (ST) is one of the most effective methods for Densely-Sampled Light Field (DSLF) reconstruction. The ST-based DSLF…
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje, Monty Santarossa, Simon-Martin Schröder +1
While deep learning strategies achieve outstanding results in computer vision tasks, one issue remains: The current strategies rely heavily on a huge amount of labeled data. In man…
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy
Lars Schmarje, Claudius Zelenka, Ulf Geisen +2
Collagen fiber orientations in bones, visible with Second Harmonic Generation (SHG) microscopy, represent the inner structure and its alteration due to influences like cancer. Whil…
An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT
Stefan Reinhold. Timo Damm, Lukas Huber, Reimer Andresen +3
Quantitative computed tomography (QCT) is a widely used tool for osteoporosis diagnosis and monitoring. The assessment of cortical markers like cortical bone mineral density (BMD)…
Restoration of Images with Wavefront Aberrations
Claudius Zelenka, Reinhard Koch
This contribution deals with image restoration in optical systems with coherent illumination, which is an important topic in astronomy, coherent microscopy and radar imaging. Such…