We present a multi-resolution space carving algorithm that reconstructs a 3D model of visual scene photographed by a calibrated digital camera placed at multiple viewpoints. Our approach employs a level set framework for reconstructing the scene. Unlike most standard space carving approaches, our level set approach produces a smooth reconstruction composed of manifold surfaces. Our method outputs a polygonal model, instead of a collection of voxels. We texturemap the reconstructed geometry using the photographs, and then render the model to produce photo-realistic new views of the scene.
Gregory G. Slabaugh, Ronald W. Schafer, Mat C. Han