Search Results for author: Michel Bätz

Found 12 papers, 0 papers with code

Motion Estimation for Fisheye Video With an Application to Temporal Resolution Enhancement

no code implementations1 Mar 2023 Andrea Eichenseer, Michel Bätz, André Kaup

Simulations and experiments are conducted on synthetic as well as real-world fisheye video sequences that are part of a data set created in the context of this paper.

Motion Estimation

Disparity estimation for fisheye images with an application to intermediate view synthesis

no code implementations2 Dec 2022 Andrea Eichenseer, Michel Bätz, André Kaup

A straightforward approach to disparity estimation is block matching, which performs well with perspective data.

Disparity Estimation

Motion estimation for fisheye video sequences combining perspective projection with camera calibration information

no code implementations2 Dec 2022 Andrea Eichenseer, Michel Bätz, André Kaup

Fisheye cameras prove a convenient means in surveillance and automotive applications as they provide a very wide field of view for capturing their surroundings.

Camera Calibration Motion Compensation +1

A hybrid motion estimation technique for fisheye video sequences based on equisolid re-projection

no code implementations30 Nov 2022 Andrea Eichenseer, Michel Bätz, Jürgen Seiler, André Kaup

Capturing large fields of view with only one camera is an important aspect in surveillance and automotive applications, but the wide-angle fisheye imagery thus obtained exhibits very special characteristics that may not be very well suited for typical image and video processing methods such as motion estimation.

Motion Estimation

Temporal error concealment for fisheye video sequences based on equisolid re-projection

no code implementations21 Nov 2022 Andrea Eichenseer, Jürgen Seiler, Michel Bätz, André Kaup

Wide-angle video sequences obtained by fisheye cameras exhibit characteristics that may not very well comply with standard image and video processing techniques such as error concealment.

Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction

no code implementations7 Apr 2022 Markus Jonscher, Jürgen Seiler, Daniela Lanz, Michael Schöberl, Michel Bätz, André Kaup

The main benefit of the proposed dynamic readout is that for each frame, different sampling points are available which is advantageous since this information can significantly enhance the reconstruction quality of the proposed reconstruction algorithm.

Super-Resolution

Reconstruction of images taken by a pair of non-regular sampling sensors using correlation based matching

no code implementations7 Apr 2022 Markus Jonscher, Jürgen Seiler, Thomas Richter, Michel Bätz, André Kaup

Recently, it has been shown that by covering a low resolution sensor with a non-regular sampling mask and by using an efficient algorithm for image reconstruction, a high resolution image can be obtained.

Image Reconstruction

Reconstruction of Videos Taken by a Non-Regular Sampling Sensor

no code implementations7 Apr 2022 Markus Jonscher, Jürgen Seiler, Michel Bätz, Thomas Richter, Wolfgang Schnurrer, André Kaup

Recently, it has been shown that a high resolution image can be obtained without the usage of a high resolution sensor.

Light-field view synthesis using convolutional block attention module

no code implementations3 Dec 2020 M. Shahzeb Khan Gul, Umair Mukati, Michel Bätz, Søren Forchhammer, Joachim Keinert

In the proposed method, we divide the process into three stages, stereo-feature extraction, disparity estimation, and final image refinement.

Disparity Estimation

Benchmarking Super-Resolution Algorithms on Real Data

no code implementations8 Sep 2017 Thomas Köhler, Michel Bätz, Farzad Naderi, André Kaup, Andreas K. Maier, Christian Riess

Therefore, current studies are either evaluated 1) on simulated data or 2) on real data without a pixel-wise ground truth.

Benchmarking Super-Resolution

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