Multi-feature matching of fresco fragments

We present a multiple-feature approach for determining matches between small fragments of archaeological artifacts such as Bronze-Age and Roman frescoes. In contrast with traditional 2D and 3D shape matching approaches, we introduce a set of feature descriptors that are based on not only color and shape, but also normal maps. These are easy to acquire and combine high data quality with discriminability and robustness to some types of deterioration. Our feature descriptors range from general-purpose to domain-specific, and are quick to compute and match. We have tested our system on three datasets of fresco fragments, demonstrating that multi-cue matching using different subsets of features leads to different tradeoffs between efficiency and effectiveness. In particular, we show that normal-based features are more effective than color-based ones at similar computational complexity, and that 3D features are more discriminative than ones based on 2D or normals, but at higher computationa...

• Type: Journal
• Year: 2010
• Where: TOG
• Authors: Corey Toler-Franklin, Benedict J. Brown, Tim Weyrich, Thomas A. Funkhouser, Szymon Rusinkiewicz
• Keywords: Feature Descriptors, General Matching Problems, Match Prediction Rate, TOG 2010