Carl Martin Grewe – Curriculum Vitae

Carl Martin Grewe
Curriculum Vitae
Takustr. 7
14195 Berlin
Germany
T +49 (30) 84185 352
B [email protected]
Í www.zib.de/grewe
Education
10/07–04/10 Bachelor of Science, Westfälische Wilhelms-Universität, Münster.
Computer Science/Informatics, Minor subject: Mathematics
10/03–08/09 Diploma, Westfälische Wilhelms-Universität, Münster.
Educational Science, Minor subjects: Sociology and Psychology
06/02 Abitur, Heilig-Geist Gymnasium, Menden (Sauerland).
Academic Affiliation
since Doctoral Scholar, Cluster of Excellence: Image. Knowledge. Gestaltung., Hum10/2015 boldt Universität Berlin.
Scholarship in the doctoral program Bild. Wissen. Gestaltung.
since Doctoral Scholar, German Aerospace Center (DLR).
05/2013 Scholarship at DLR Graduate Program granted by Jugend-Forscht e.V. as former contest
participant.
since Research Associate, Cluster of Excellence: Image. Knowledge. Gestaltung., Hum04/2013 boldt Universität Berlin.
Research project Epistemic Reverse Side of Instrumental Images.
since Research Assistant, Zuse Institute Berlin.
08/2010 Division Mathematics for Life and Materials Sciences, research group Therapy Planning.
Current research projects: Facial Morphology, Camera Facialis, Joint Kinematics, Cranial
Shape Analysis
Current Research
The human face, especially its static and dynamic expressiveness, plays a central
role in my current research. During my doctoral studies, primarily in the field of
computer science, I am working on devices and techniques for measurement and
analysis of three-dimensional facial morphology. Studying the human face and
facial expressions is both, fascinating and particularly challenging, not just from
a technical point-of-view but also from an anatomical, psychological, and cultural
perspective. Therefore, I enjoy having the opportunity to work in an interdisciplinary
environment helping me to look at the topic beyond the narrow field of my doctoral
research project.
Research Topics and Interests
Extraction and comparison of shape, i.e. the geometrical information that remains
when location, scale, and rotational effects are filtered out from an object, is a major
challenge in morphometric analyses. I am interested in theoretical foundations
as well as practical algorithmic approaches to statistical shape analysis which
can handle even smallest morphological features. A central goal is the automatic
reconstruction and preparation of highly-detailed morphological data for statistical
shape analysis by combining methods from computer vision, pattern recognition
and machine learning.
Non-invasive methods for the three-dimensional measurement of human morphology are usually based on photogrammetric methods. A major topic in computer
vision research is the algorithmic reconstruction of the object’s surface, color, and
reflectance properties from synchronous captured images. I am working on highlydetailed reconstruction of facial morphology using passive stereophotogrammetric
methods.
The identification of corresponding regions is essential for comparison and statistical
analysis of morphological data. The goal of pattern recognition is the development of reliable methods for feature detection and semantic labeling in unstructured
data. My research concerns approaches for reliable sparse and dense semantic labeling, especially methods incorporating statistical shape priors, to automatically
prepare data for morphological analysis.
Understanding and modeling of high-dimensional data and its interdependent structure for regression or classification of specific properties is the goal of machine
learning. I am interested in methods which help to explore and analyze highdimensional morphological data with respect to their intrinsic structure and relation
to other characteristic features and variables.
Publications
2015 Grewe, C. Martin, Lisa Schreiber, and Stefan Zachow. “Fast and Accurate Digital
Morphometry of Facial Expressions”. In: Facial Plastic Surgery. Special Issue: The
Facial Profile. Ed. by Anthony Sclafani and Werner Heppt, pp. xx–xx.
Wilson, David, Pia Bücher, C. Martin Grewe, Carolyn Anglin, et al. “Validation
of Three Dimensional Models of the Distal Femur Created from Surgical Navigation Point Cloud Data”. In: 15th Annual Meeting of the International Society for
Computer Assisted Orthopaedic Surgery (CAOS).
Wilson, David, Pia Bücher, C. Martin Grewe, Valentin Mocanu, et al. “Validation
of Three Dimensional Models of the Distal Femur Created from Surgical Navigation
Data”. In: Orthopedic Research Society Annual Meeting.
2013 Grewe, C. Martin, Hans Lamecker, and Stefan Zachow. “Landmark-based Statistical
Shape Analysis”. In: Auxology - Studying Human Growth and Development. Ed. by
Michael Hermanussen, pp. 199–201.
2011 Grewe, C. Martin, Hans Lamecker, and Stefan Zachow. “Digital morphometry: The
Potential of Statistical Shape Models”. In: Anthropologischer Anzeiger. Journal of
Biological and Clinical Anthropology, pp. 506–506.
2010 Böttcher, Wolfgang and C. Martin Grewe. “Eine Untersuchung zur Wirksamkeit
der studentischen Lehrveranstaltungskritik am Beispiel der Westfälischen WilhelmsUniversität”. In: Lehre und Studium professionell evaluieren: Wie viel Wissenschaft
braucht die Evaluation? Ed. by Philipp Pohlenz and Antje Oppermann. Universitätsverlag Webler, pp. 73–82.
2007 Grewe, C. Martin, Rolf Strietholt, and Kunt Schwippert. “Unterrichtsqualität aus
Schülersicht”. In: Qualität von Grundschulunterricht. Ed. by Kornelia Möller et al.
Springer, pp. 179–182.
Höhmann, Kathrin, C. Martin Grewe, and Rolf Strietholt. “Ganztägiges Lernen
in Deutschland – Ausgangslage und Rahmendaten”. In: Studien zur ganztägigen
Bildung. Ganztagsschule in Deutschland. Ergebnisse der Ausgangserhebung der
"Studie zur Entwicklung von Ganztagsschulen"(StEG). Ed. by Heinz-Günter Holtappels et al. Juventa, pp. 69–76.
Talks
2015 3D Mimik-Archiv. Statistical Assessment of Facial Expressions. Workshop Facial
Expressions. Zentrum für Literatur- und Kulturforschung, Berlin.
Camera Facialis. 3D-Photogrammetrie zur Vermessung des Gesichts. Symposium
Bildgenese in den Wissenschaften. Exzellenzcluster Bild Wissen Gestalten, Berlin.
2013 Analysis of 3D facial morphology. Jahrestagung der AG Identifikation nach Bildern
(AGIB). Institut für Biochemie und Biologie, Universität Potsdam.
2012 Statistical Shape Analysis: Patterns in Facial Morphology. Seminarvortrag. Institut
für Biochemie und Biologie, Universität Potsdam.
2011 Digital morphometry: The Potential of Statistical Shape Models. 9. Internationaler
Kongress der Gesellschaft für Anthropologie. Schloss Gottorf, Schleswig-Holstein.