Design And Implementation Of An IBMR Based Image Relief System

Image-based modeling and rendering is about leveraging the ease with which photographs can be taken, the speed at which they can be displayed, and their amazing power to communicate, while at the same time transcending their limitations. The various forms of IBMR transcend the limitations by deriving some sort of representation of the scene from the photographs, and then using this representation to create renderings.The principal reason that image-based modeling and rendering is interesting is that these representations do not need to be as complete as traditional computer graphics models in order to transcend many of the limitations of photographs.In this thesis we present an image-based modeling and editing for 3D view and image relievo. Also a uniform data structure is presented, where each pixel encodes both color and depth and various channels for color, depth and etc. We employ a suite of user-assisted techniques, based on a painting metaphor to simply models scene, paint depths and extract object. Our system enables editing from different viewpoints, extracting and grouping of image-based objects, and modifying the texture, color, and illumination of these objects. We introduce many specific editing operations: spidery-mesh, selection tool, copy brushing, bump function, blurring, sharpening tool, translation, ground plane tool. Finally, our system provides a means for more expressive depth variations that result in more realistic rendering, which can be created from different representations of 3-D scenes and rendered at novel viewpoints in a geometrically correct manner, especially, the synthesized depth image as an input of the CAM system, generated tool path for image relievo. When applied to CNC for image relievo carving, our method proved to be feasible and efficient.