Active Stereo-matching for One-shot Dense Reconstruction

Stereo-vision in computer vision represents an important field for 3D reconstruction. Real time dense reconstruction, however, is only achieved for high textured surfaces in passive stereo-matching. In this work an active stereo-matching approach is proposed. A projected pattern is used to artificially increase the texture of the measuring object, thus enabling dense reconstruction for one-shot stereo techniques. Results show that the accuracy is similar to other active techniques, while dense reconstruction is obtained.