Call for Papers

The DAGM German Conference on Pattern Recognition (DAGM GCPR) 2025 is the 47th annual symposium of the German Association for Pattern Recognition (DAGM). It is an international venue for recent advances in pattern recognition including image processing, machine learning, and computer vision, and welcomes submissions from all areas of pattern recognition. This year, it will be held in Freiburg.

Authors are invited to submit high-quality papers presenting original research. Submitted papers will be reviewed based on the criteria of originality, soundness, empirical evaluation, and presentation. The reviewing process is double-blind. Accepted papers will be published by Springer as a proceeding of the Lecture Notes in Computer Science (LNCS). The best papers will be invited to contribute to a special issue of the International Journal of Computer Vision (IJCV).

Topics of interest include, but are not limited to, the following:

• Image/video processing, analysis, and computer vision
• Machine learning and pattern recognition
• Perception and machine learning for robotic systems
• Mathematical foundations, statistical data analysis and models
• Computational photography and confluence of vision and graphics
• Biomedical image processing and analysis
• Document analysis
• Biometrics
• Applications

Submission deadlines

Special Tracks

We especially invite submissions for the following Special Tracks, which are chaired and reviewed explicitly by experts from the respective fields. They also have special review criteria which will be explicitly communicated to the reviewers to ensure clear quality expectations and interesting contributions.

Pattern recognition in the life and natural sciences

Pattern recognition and machine learning already became a major driver in the sciences, for example, for data driven analysis or understanding of processes. This special track asks for original work that demonstrates successful development and application of pattern recognition methods tailored to the specific domain from the life- and natural sciences.

Photogrammetry and remote sensing

The photogrammetry and remote sensing track invites papers on theory and applications in photogrammetry and remote sensing with significant computer vision or machine learning components. The track provides a forum for researchers developing approaches from image classification and segmentation to high-precision photogrammetry to share their latest developments. Besides state-of-the-art research novelties, papers will also be considered if they present interesting, complex applications possibly in unexpected domains or with novel extensive data sets.

Computer vision systems and applications

The computer vision systems and applications track invites papers on systems and applications with significant, exciting vision and machine learning components. The track provides a forum for researchers working on industrial applications to share their latest developments. The focus is not on state-of-the-art research novelty. Instead, the system and applied papers need to stand out in successfully transferring research results to applications in the industry. Important are measurable success indicators, such as performance, robustness, memory or energy consumption, big data, systems-level innovation or adaptation of existing methods to an entirely novel domain while satisfying industrial requirements.

 

DAGM Young Researcher's Forum

If you are a Master student, you are invited to submit your thesis as a paper to GCPR to promote your work, meet prospective employers or Ph.D. supervisors and compete for the Best Master’s thesis award of the DAGM Young Researcher’s forum. Please follow the special submission instructions on the conference web page.

Nectar Track

The nectar track is an opportunity for you to contribute to the program of GCPR by presenting a paper already published at a previous major international computer vision, or machine learning conference or in a journal. This way, you can generate additional exposure of your work and have a platform for networking with colleagues within and outside the GCPR community.

Contact and additional information

Questions can be directed to the program chairs.