Automatic 3D model acquisition from uncalibrated image sequences
In this paper the problem of obtaining 3D models from image sequences is addressed. The proposed method deals with uncalibrated monocular image sequences. No prior knowledge about the scene or about the camera is necessary to build the 3D models. The only assumptions are the rigidity of the scene objects and opaque object surfaces. The modeling system uses a 3-step approach. First, the camera pose and intrinsic parameters are calibrated by tracking salient feature points throughout the sequence. Next, consecutive images of the sequence are treated as stereoscopic image pairs and dense correspondence maps are computed by area matching. Finally, dense and accurate depth maps are computed by linking together all correspondences over the viewpoints. The depth maps are converted to triangular surfaces meshes that are texture mapped for photo-realistic appearance. The feasibility of the approach has been tested on both real and synthetic data and is illustrated here on several outdoor image sequences.