Skeleton-Based Recognition of Shapes in Images via Longest Path Matching (bibtex)

by G. Bal, J. Diebold, E. W. Chambers, E. Gasparovic, R. Hu, K. Leonard, M. Shaker and C. Wenk

Reference:

Skeleton-Based Recognition of Shapes in Images via Longest Path Matching (G. Bal, J. Diebold, E. W. Chambers, E. Gasparovic, R. Hu, K. Leonard, M. Shaker and C. Wenk), Chapter in Research in Shape Modeling, Springer International Publishing, volume 1, 2015.

Bibtex Entry:

@incollection{bal-et-al-2015,
 author = {G. Bal and J. Diebold and E. W. Chambers and E. Gasparovic and R. Hu and K. Leonard and M. Shaker and C. Wenk},
 title = {{Skeleton-Based Recognition of Shapes in Images via Longest Path Matching}},
 booktitle = {Research in Shape Modeling},
 year = {2015},
 series = {Association for Women in Mathematics Series},
 publisher = {Springer International Publishing},
 isbn = {978-3-319-16347-5},
 volume = {1},
 pages = {81--99},
 doi = {10.1007/978-3-319-16348-2_6},
 titleurl = {bal-et-al-2015.pdf},
 keywords = {diebold},
}

by G. Bal, J. Diebold, E. W. Chambers, E. Gasparovic, R. Hu, K. Leonard, M. Shaker and C. Wenk

Reference:

Bibtex Entry:

@incollection{bal-et-al-2015,
 author = {G. Bal and J. Diebold and E. W. Chambers and E. Gasparovic and R. Hu and K. Leonard and M. Shaker and C. Wenk},
 title = {{Skeleton-Based Recognition of Shapes in Images via Longest Path Matching}},
 booktitle = {Research in Shape Modeling},
 year = {2015},
 series = {Association for Women in Mathematics Series},
 publisher = {Springer International Publishing},
 isbn = {978-3-319-16347-5},
 volume = {1},
 pages = {81--99},
 doi = {10.1007/978-3-319-16348-2_6},
 titleurl = {bal-et-al-2015.pdf},
 keywords = {diebold},
}

Research Interests

Mathematical Image Analysis, Image Segmentation, Variational Methods, Mathematical Morphology, Optimization Methods, Mathematics.

Brief Bio

Since November 2012 Julia Diebold is a PhD Student in the Research Group for Computer Vision and Pattern Recognition at the Technical University of Munich, headed by Professor Daniel Cremers.

Julia Diebold received her Bachelor of Science in Mathematics (2010) and her Master of Mathematics in Science and Engineering (2012) from the Technical University of Munich.

She received the Achievement Award for Master Graduate 2012 of the Women for Math Science Program at the Technical University of Munich.

Julia Diebold ist unter dem Namen TRYFLA als selbstständige IT-Trainerin und Beraterin in Regensburg tätig. Sie bietet IT-Kurse und Beratung rund um die Themen IT-Grundlagen, Apple, Text- und Bildbearbeitung, Internetauftritt sowie Apple Support in Regensburg an. Mehr Informationen finden Sie auf ihrer Website: http://www.tryfla.de und in ihrem Blog http://tryfla.tumblr.com

Publications

List of publications.