IAPR Invited speakers

Eric Andres

Title: Collaborating with an Artist in Digital Geometry

Abstract: In this invited talk, we are going to present an ongoing collaboration with a local artist, Aurelie Mourier. The artist works with voxel shapes and this led our digital geometry team to develop new shape modeling tools and explore a particular class of unfolding problem

Helmut Pottmann

TU Wien, Austria

Title: Freeform Architecture and Discrete Differential Geometry

Abstract: Freeform structures play an important role within contempo- rary architecture. While there is a wealth of excellent tools for the digital design of free-form geometry, the actual fabrication on the architectural scale is a big challenge. Key issues in this context are free-form surfaces composed of panels which can be manufactured at reasonable cost, and the geometry and statics of the support structure. The present article is an extended abstract of a talk on the close relation between geometric computing for free-form architecture and discrete differential geometry. It addresses topics such as skins from planar, in particular quadrilateral panels, geometry and statics of supporting structures, structures in force equilibrium.

Michael Wilkinson

University of Groningen, The Netherlands

Title: A Guided Tour of Connective Morphology: Concepts, Algorithms, and Applications

Abstract: Connective morphology has been an active area of research for more than two decades. Based on an abstract notion of connectivity, it allows development of perceptual grouping of pixels using different con- nectivity classes. Images are processed based on these perceptual groups, rather than some rigid neighbourhood imposed upon the image in the form of a fixed structuring element. The progress in this field has been threefold: (i) development of a mathematical framework; (ii) develop- ment of fast algorithms, and (iii) application of the methodology in very diverse fields. In this talk I will review these developments, and describe relationships to other image-adaptive methods. I will also discuss the opportunities for use in multi-scale analysis and inclusion of machine learning within connected filters.