Abstract: The present invention is directed to systems and methods for processing 2-D to 3-D image conversion. The system and method includes erode filling when an object has been removed from an image. In one embodiment, a target binary t image mask of the removed object is used for comparison with a binary source mask of the image. In an iterative process, color differences between pixels in the target mask and pixels in the source mask are identified and the pixels in the target mask are changed working from the periphery of the target mask to the center of the mask. Color noise is eliminated in the filled region of the target mask and, if desired, random color noise is added to the filled target mask.

Abstract: The present invention is directed to systems and methods for controlling 2-D to 3-D image conversion. In one embodiment, stereo visualization and rendering of the final image is performed by allowing a user to independently select inter-ocular and convergence distances on a frame by frame basis. The user can view the effect of each selected parameter on a real-time basis and may, if desired, use interpolation and select parameters only for key frames.

Abstract: The present invention is directed to systems and methods for controlling 2-D to 3-D image conversion. The system and method includes receiving an image and masking the objects in the image using segmentation layers Each segmentation layer can have weighted values for static and dynamic features. Iterations are used to form the final image which, if desired, can be formed using less than all of the segmentation layers. A final iteration can be run with the weighted values equal for static and dynamic features.

Abstract: The present invention is directed to systems and methods for controlling 2-D to 3-D image conversion. In one embodiment, a mask is generated from an object model of the image. The mask is then used to from a 2-D mesh which is then converted to a 3-D volume mesh. The 3-D volume mesh is then used to produce 3-D image conversion.

Abstract: The present invention is directed to systems and methods for controlling 2-D to 3-D image conversion and/or generation. The methods and systems use auto-fitting techniques to create a mask based upon tracking features from frame to frame. When features are determined to be missing they are added prior to auto-fitting the mask.

Abstract: The present invention is directed to systems and methods for processing 2-D to 3-D image conversion. The systems and methods fill in light among image frames when object have been removed or otherwise changed. In one embodiment, light is treated as an object and can be removed during image processing. The light is added back during the rendering process using the created light object. In other embodiments, light from other frames is filled in using weighted averaging of the light depending upon temporal distance from a particular frame and a base frame.

Abstract: The present invention is directed to systems and methods for processing 2-D to 3-D images. The system and method includes a procedure for optimizing occlusion and/or texturing by creating tolerances in which such texturing need not occur.

Abstract: The present invention is directed to systems and methods for processing 2-D to 3-D image conversion. Rendering of left and right eye images is performed by order independent depth peeling. For each image that is created a number of scene traversals are performed that peel off each depth layer based on a previous traversals depth map. The peeled layers are then blended together and, if desired, unwanted jagged edges can be removed.

Abstract: The present invention is directed to a system and method for interactive and iterative reconstruction in a manner that helps to reduce computational requirements by generating a model from a subset of the available data, and then refining that model using additional data. Example embodiments directed to scene reconstruction, reconstruct a 3D scene from a plurality of 2D images of that scene by first generating a model of the 3D scene from a subset a of the 2D images. The model can then be refined using specific characteristics of each image in the subset that are calculated using the other images in the subset. The model is further refined using images not in the original subset.

Abstract: A system and method providing for the generation of an image having enhanced three-dimensional attributes from a source image having only two-dimensional spatial domain information is disclosed. Object image discrimination through the use of machine vision techniques is utilized to identify objects within the source image. Thereafter, object images are dissected into image cells wherein the object images are supplemented to include missing information. Generation techniques are utilized to reassemble the image cells into an image having the desired enhanced three-dimensional attributes.