Transitions of multi-scale singularity trees

Authors:
Kerawit Somchaipeng;Jon Sporring;Sven Kreiborg;Peter Johansen
Affiliations:
,3D-Lab, School of Dentistry, Dept. of Pediatric Dentistry, University of Copenhagen, Copenhagen N, Denmark;Dept. of Computer Science, University of Copenhagen, Copenhagen N, Denmark;3D-Lab, School of Dentistry, Dept. of Pediatric Dentistry, University of Copenhagen, Copenhagen N, Denmark;Dept. of Computer Science, University of Copenhagen, Copenhagen N, Denmark
Venue:
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
Year:
2005

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Abstract

Multi-Scale Singularity Trees(MSSTs) [10] are multi-scale image descriptors aimed at representing the deep structures of images. Changes in images are directly translated to changes in the deep structures; therefore transitions in MSSTs. Because MSSTs can be used to represent the deep structure of images efficiently, it is important to investigate and understand their transitions and impacts. We present four kinds of MSST transitions and discuss the potential advantages of Saddle-Based MSSTs over Extrema-Based MSSTs. The study of MSST transitions presented in this paper is an important step towards the development of the image matching and indexing algorithms based on MSSTs.