Course details of CS 749 - Digital Geometry Processing

Course Name Digital Geometry Processing
Total Credits 6
Type T
Lecture 3
Tutorial 0
Practical 0
Selfstudy 0
Half Semester N
Prerequisite
Text Reference No required textbook, though the following book may be useful for many parts of the course: Biasotti, S.; Falcidieno, B.; Giorgi, D.; Spagnuolo, M., Mathematical Tools for Shape Analysis and Description, Morgan & Claypool, 2014, doi: 10.2200/S00588ED1V01Y201407CGR016 Each lecture will have handouts, notes and references for the specific material. Discussion of research topics will refer to research papers as background reading
Description 3D shape representations: meshes, implicit surfaces, volumetric representations Basic geometric analysis: dimensions, geodesics, curvature, moments etc Advanced geometric analysis: discrete differential geometry, medial axis transform, spectral decomposition Geometric features (local and global): distance histograms, spherical harmonics, light field descriptors, heat kernel signatures Shape search and classification: nearest-neighbor lookup, statistical classifiers Shape segmentation: unsupervised (single and multi-shape), supervised Shape correspondences: sparse and dense Shape parametrizations (local and global): minimizing various metric distortions Surface reconstruction Statistical models of shape structure: templates, grammars, part-based graphical models Shape manipulation: editing and deformations Research topics and trends: review of current state of the art and area trends models of semantics, function, aesthetics, manufacturability, interaction etc. Reading and discussion of significant selected papers. Applications to design, acquisition, vision and robotics. Small programming assignments for selected subset of above topics, plus final project (ideally a small research project, but can also be a development-based one).
Last Update 12-12-2015 13:43:11.720741