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Dipl.-Inf. Johannes Jordan

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Hyperspectral cameras are a core technology in remote sensing. Recently, multispectral and hyperspectral sensors became increasingly applicable to other fields, e.g. cultural heritage and medical diagnosis. A camera that can see more information than the human eye is fascinating. My vision is that we can access this unseen information easily and intuitively with the help of novel processing and visualization systems.

Projects

Gerbil – Multispectral Image Analysis Framework

Gerbil is an open-source project targeting researchers working with multispectral or hyperspectral images, or doing research and teaching in color and reflectance. The software consists of a new interactive visualization tool designed for multispectral and hyperspectral image data, and a toolbox of common algorithms, e.g. for preprocessing and segmentation.

Find more information about my research on

 

Publications:

Jordan, Johannes; Angelopoulou, Elli. Gerbil - A Novel Software Framework for Visualization and Analysis in the Multispectral Domain. VMV 2010: Vision, Modeling & Visualization (15th International Workshop on Vision, Modeling & Visualization), Siegen, 15.-17.11.2010, vol. 1, pp. 259-266, 2010

Jordan, Johannes; Angelopoulou, Elli. Edge Detection in Multispectral Images Using the N-dimensional Self-organizing Map. 18th IEEE International Conference on Image Processing (ICIP), Brussels, Sept. 2011, pp. 3181 -3184, 2011

Jordan, Johannes; Angelopoulou, Elli. Supervised Multispectral Image Segmentation With Power Watersheds. 19th IEEE International Conference on Image Processing (ICIP), Orlando, FL, 30.09.2012, pp. 1585-1588, 2012

Jordan, Johannes; Angelopoulou, Elli. Hyperspectral Image Visualization With a 3-D Self-Organizing Map. IEEE 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), to appear

Jordan, Johannes; Angelopoulou, Elli. Mean-shift Clustering For Interactive Multispectral Image Analysis. 20th IEEE International Conference on Image Processing (ICIP), to appear

Image Forensics
Forgery source image
Source for 2nd person
Forged image under inspection
Resampling detection result

The goal of blind image forensics is to assess authenticity and origin of digital images without an embedded security scheme. In this project we investigate a wide range of "attack points", ranging from copy-move forgery detection to the exploitation of reflectance properties in the scene.

 

Publications:

Christlein, Vincent; Riess, Christian; Jordan, Johannes; Riess, Corinna; Angelopoulou, Elli. An Evaluation of Popular Copy-Move Forgery Detection Approaches. IEEE Transactions on Information Forensics and Security, vol. 7, no. 6, pp. 1841-1854, 2012

Riess, Christian; Jordan, Johannes; Angelopoulou, Elli. A Common Framework for Ambient Illumination in the Dichromatic Reflectance Model. IEEE 12th International Conference on Computer Vision Workshops (IEEE Color and Reflectance in Imaging and Computer Vision Workshop 2009), Kyoto, Japan, 04.10.2009, pp. 1939-1946, 2009