Multi-view 3D data acquisition using a single uncoded light pattern

Abstract

This research concerns the acquisition of 3-dimensional data from images for the purpose of modeling a person's head. This paper proposes an approach for acquiring the 3-dimensional reconstruction using a multiple stereo camera vision platform and a combination of passive and active lighting techniques. The proposed one-shot active lighting method projects a single, binary dot pattern, hence ensuring the suitability of the method to reconstruct dynamic scenes. Contrary to the conventional spatial neighborhood coding techniques, this approach matches corresponding spots between image pairs by exploiting solely the redundant data available in the multiple camera images. This produces an initial, sparse reconstruction, which is then used to guide a passive lighting technique to obtain a dense 3-dimensional representation of the object of interest. The results obtained reveal the robustness of the projected pattern and the spot matching algorithm, and a decrease in the number of false matches in the 3-dimensional dense reconstructions, particularly in smooth and textureless regions on the human face.