Call for Papers
The German Conference on Pattern Recognition (GCPR) 2019 is the 41th annual
symposium of the German Association for Pattern Recognition (DAGM,
www.dagm.de). The GCPR addresses recent advances in theory, methodology, and
applications of pattern recognition, machine learning, and computer vision.
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. In the long tradition of
this conference series, the single track program with oral and poster sessions
will provide ample opportunity for open-minded discussions and interaction. The
conference will also include tutorials and a Young Researchers Forum.
The scope of GCPR 2019 includes, but is not limited to, the following topics:
- Image/video processing, analysis, and computer vision
- Machine learning and pattern recognition
- Mathematical foundations, statistical data analysis and models
- Computational photography and confluence of vision and graphics
- Biomedical image processing and analysis
- Document analysis
Particularly, we encourage submissions in the following fields that will have
special track chairs to handle the corresponding submissions:
- Computer vision systems and applications and applications
(Chairs: Bodo Rosenhahn, Carsten Steger)
- Pattern recognition in the life- and natural sciences
(Chairs: Joachim Denzler, Xiaoyi Jiang)
- Photogrammetry and remote sensing
(Chairs: Helmut Mayer, Uwe Sörgel)
- Robot Vision
(Chairs: Jörg Stückler, Markus Vincze)
The pdf version can be found here: GCPR-2019 Call for Papers
Submission / Proceedings
The paper length is limited to 12 pages (LNCS style) plus references (up to 2
pages). In addition, supplementary materials can be submitted. All manuscripts
will be subject to a double-blind review process. The conference proceedings
will be published in the Springer LNCS series.
The best contributions will receive GCPR awards.
IJCV Special Issue
From all GCPR 2019 submissions the best papers will be invited to contribute to
a special issue of the International Journal of Computer Vision (IJCV).
TU Dortmund University
Since its founding 48 years ago, TU Dortmund University has developed a special profile, encompassing 16 faculties ranging from science and engineering -- including one of the largest computer science departments in Germany -- to social sciences and cultural studies. The university currently has approximately 33,500 students and 6,200 staff members, including 300 professors. The curriculum is comprised of around 80 programs of study, both traditional and innovative, some even unique to this university. A broad teacher training program is also offered for all school types. The various scientific disciplines share a common university spirit in which interdisciplinary, communication and cooperation are not only taught, but lived and experienced. This interaction creates an environment conducive to technological innovation and fosters advances in methods and knowledge.