Princeton University
|
Computer Science 598A
|
|
This course will survey recent research related to geometric analysis of 3D shapes. Discussions will focus on algorithms for surface correspondence, structure extraction, object recognition, content-aware processing, etc. The course will operate as a graduate-level reading class. So, coursework will include weekly discussion of papers and a final course project. During our discussions, we will focus not only on the technical contributions of past work, but also the mechanics of writing papers and giving talks, and we will also build a shared repository of related information (e.g., through this bib file). All are welcome (even if you don't take the course for credit).
| Date | Discussant | Topic | Reading |
| Feb 2 | Tom | Introduction | |
| Feb 9 | Tom | Repeated Structure Extraction | Wang11 |
| Feb 16 | Xiaobai | Part Correspondence | vanKaick11 |
| Feb 23 | Vova, Thiaggo, Valentina | Statistical Models of Object Classes | Hasler09 |
| Mar 2 | Conditional and Markov Random Fields | Munoz08 | |
| Mar 9 | Aleksey | Contextual Recognition | Fisher10 |
| Mar 16 | Spring Break | ||
| Mar 23 | Example-Based Procedural Modeling | Bokeloh10 | |
| Mar 23 | Baoquan Chen | City Modeling | Nan10, Zheng10 |
| Apr 6 | Yiming | Model Composition | Chaudhuri11, Chaudhuri10 |
| Apr 13 | Content-Aware Mesh Processing | Gal09 | |
| Apr 20 | Using 3D Model Repositories for Object Recognition and Modeling | Lai10a | |
| Apr 26 | Siddhartha Chaudhuri | Structure Visualization | Ovsjanikov11 |