Outdoor Dynamic 3-D Scene Reconstruction

Existing systems for 3-D reconstruction from multiple view video use controlled indoor environments with uniform illumination and backgrounds to allow accurate segmentation of dynamic foreground objects. In this paper, we present a portable system for 3-D reconstruction of dynamic outdoor scenes that require relatively large capture volumes with complex backgrounds and nonuniform illumination. This is motivated by the demand for 3-D reconstruction of natural outdoor scenes to support film and broadcast production. Limitations of existing multiple view 3-D reconstruction techniques for use in outdoor scenes are identified. Outdoor 3-D scene reconstruction is performed in three stages: 1) 3-D background scene modeling using spherical stereo image capture; 2) multiple view segmentation of dynamic foreground objects by simultaneous video matting across multiple views; and 3) robust 3-D foreground reconstruction and multiple view segmentation refinement in the presence of segmentation and calibration errors. Evaluation is performed on several outdoor productions with complex dynamic scenes including people and animals. Results demonstrate that the proposed approach overcomes limitations of previous indoor multiple view reconstruction approaches enabling high-quality free-viewpoint rendering and 3-D reference models for production.