Work in dynamic image based rendering has been presented by Kanade et al.  and Matusik et al.  previously. We present an alternative implementation that allows us to have a very inexpensive process of creating dynamic image-based renderings of digitally recorded photo realistic; real-life objects. Together ith computer vision algorithms; the image-based objects are visualized using the Relief Texture Mapping algorithm presented by Oliveira et al . As the relief engine requires depth information for all Texels representing the recorded object in an arbitrary view; a recording solution making depth extraction possible is required. Our eyes use binocular vision to produce disparities in depth; which also is the most effortless technique of producing stereovision. By using two digital video cameras; the dynamic object is recorded in stereo in different views to cover its whole volume. As the depth information from all views are generated; the different views from the image-based object are textured on a pre-defined bounding box and relief textured into a three dimensional representation by applying the known depth disparities.