Accurate and Robust Registration for In-hand Modeling
We present fast 3D surface registration methods for inhand modeling. This allows users to scan complete objects swiftly by simply turning them around in front of the scanner. The paper makes two main contributions. First, we propose an efficient method for detecting registration failures, which is a vital property of any automatic modeling system. Our method is based on two different consistency tests, one based on geometry and one based on texture. Second, we extend ICP by three additional fast registration methods for both coarse and fine alignment based on both texture and geometry. Each of those methods brings in additional information that can compensate for ambiguities in the other cues. Together, they allow for the robust reconstruction of a large variety of objects with different geometric and photometric properties. Finally, we show how both failure detection and fast registration can be combined in a practical and robust in-hand modeling system that operates at interactive frame rates.