Voxel Stream

Voxel Stream Obtaining computer models of real world objects is a very active research subject with applications in Virtual Reality (VR) and Voxel Stream multimedia systems. A common approach that leads to photorealistic descriptions of the objects is to take multiple camera views from different positions around the object and then to Voxel Stream register the information from all views into a complete 3-D description of the object. For 3-D reconstruction from multiple views, two basic classes of algorithms can be distinguished. The Voxel Stream first class of algorithms computes depth maps from two or more views of the object and then registers the depth maps into a single 3-D surface model. The depth map recovery often Voxel Stream relies on sparse or dense matching of image points with subsequent 3-D structure estimation or is supported by additional depth information from range sensors. The second class of Voxel Stream algorithms is based on volume intersection, and is often referred to as shape-from-silhouette algorithms. The object shape is typically computed as the intersection of the outline cones which Voxel Stream are back-projected from all available views of the object. This requires the reliable extraction of the object contour in all views which restricts the applicability to scenes where the object Voxel Stream can be easily segmented from the background.The representation of the objects is fully volume-based and no explicit surface description is needed. The approach is based on multi-hypothesis tests of the back-projected voxel model into the image planes. All camera views are Voxel Stream incorporated in the reconstruction process simultaneously and no explicit data fusion is needed. In a first step each voxel of the viewing volume is filled with several color hypotheses which Voxel Stream stem from different camera views. This leads to an overcomplete representation of the 3-D object and each voxel typically contains multiple hypotheses. In a second step only those Voxel Stream hypotheses remain in the voxels which are consistent with all camera views where the voxel is visible. Voxels without a valid hypothesis are considered to be transparent. The particular Voxel Stream methodology of our approach combines the advantages of silhouette-based and image feature-based methods. Experimental results on real and synthetic image data can be found here. Voxel Stream