Structure-Aware Shape Processing
Monday, 11 August 2:00 PM - 5:15 PM | Vancouver Convention Centre, West Building, Rooms 211-214
Shape structure is based on the arrangement and relationships among shape parts. Structure-aware shape processing goes beyond local geometry and low-level processing to analyze and process shapes at a high level. It focuses more on the global inter- and intra-semantic relations among the parts of shape rather than on their local geometric details.
With recent developments in easy shape acquisition, access to vast repositories of 3D models, and simple-to-use desktop fabrication possibilities, the study of structure in shapes has become a central research topic in shape analysis, editing, and modelling. A whole new line of structure-aware shape processing algorithms has emerged. Their operation is based on an attempt to understand such structure in shapes and, eventually, link object functions to shape geometry. The algorithms broadly consist of two key phases: an analysis phase, which extracts structural information from input data; and a (smart) processing phase, which utilizes the extracted information for exploration, editing, and synthesis of novel shapes.
Introduction to Geometric Structure
(Analysis) Extracting Structures
A. Analysis of Individual Models
B. Analysis of Shape Collections
C. Encoding Structural Hierarchy
(Application) Manipulating Structures
A. Modeling as Structural Variations
B. Structure-Guided Design
C. Organization and Exploration of Shape Collections
Conclusion and Open Problems
Basic background in computer graphics and particularly geometric modelling and processing. Working knowledge of data analysis and machine learning recommended but not required.
Graduate students, practitioners, and researchers interested in shape analysis and, in particular, massive shape collections.
University College London, King Abdullah University of Science and Technology
Simon Fraser University
Tel Aviv University