Recognizing Materials from Virtual Examples

 In this project, we investigate if and how appearance descriptors can be transferred from the virtual world to real examples. We study two popular appearance descriptors on the task of material categorization as it is a pure appearance-driven task. Beyond this initial study, we also investigate different approach of combining and adapting virtual and real data in order to bridge the gap between rendered and real-data. Our study is carried out using a new database of virtual materials MPI-VIPS that complements the existing KTH-TIPS material database.

Datasets

• Description
• Documentation(pdf)
• Download
  • KTH-TIPS2 datasets
  • MPI-VIPS datasets

[1] Recognizing Materials from Virtual Examples, W. Li, M. Fritz, ECCV 2012: 12th European Conference on Computer Vision, October, Volume 2012, Firenze, Italy, (2012)