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 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: Embodiments use point clouds to form a three dimensional image of an object. The point cloud of the object may be formed from analysis of two dimensional images of the object. Various techniques may be used on the point cloud to form a three dimensional model of the object which is then used to create a stereoscopic representation of the object.

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 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 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 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. 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: Embodiments use point clouds to form a three dimensional image of an object. The point cloud of the object may be formed from analysis of two dimensional images of the object. Various techniques may be used on the point cloud to form a three dimensional model of the object which is then used to create a stereoscopic representation of the object.

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: Embodiments use point clouds to form a three dimensional image of an object. The point cloud of the object may be formed from analysis of two dimensional images of the object. Various techniques may be used on the point cloud to form a 3D model of the object which is then used to create a stereoscopic representation of the object.

Abstract: Embodiments use point clouds to recreate a camera. The point cloud of the object may be formed from analysis of two dimensional images taken by the camera. Once the virtual camera has been formed, the camera may be used in the process of generating stereoscopic three dimensional images of the scene within the 2D images.

Abstract: Methods and apparatuses for compensating for clipped portions of one or more objects in an image provide a boundary mask portion adjacent to one or more edges of an image display. The boundary mask portion is used to display information which will fill clipped portions of the objects in the image.

Abstract: Embodiments use point clouds to form a three dimensional image of an object. The point cloud of the object may be formed from analysis of two dimensional images of the object. Various techniques may be used on the point cloud to form a 3D model of the object which is then used to create a stereoscopic representation of the object.

Abstract: Embodiments use point clouds to form a three dimensional image of an object. The point cloud of the object may be formed from analysis of two dimensional images of the object. Various techniques may be used on the point cloud to form a 3D model of the object which is then used to create a stereoscopic representation of the object.

Abstract: Embodiments use point clouds to recreate a camera. The point cloud of the object may be formed from analysis of two dimensional images taken by the camera. Once the virtual camera has been formed, the camera may be used in the process of generating stereoscopic three dimensional images of the scene within the 2D images.

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: A two dimensional image which has a semitransparent object in the foreground of the image has three contributions to the final color shown in a pixel where the semitransparent object is present. Properties of a semitransparent object and background in the given two dimensional image are processed to determine the contribution of the background color of the image, the foreground color of the object, and the alpha channel of the object. Once these properties are determined, the accurate stereoscopic rendering of the semitransparent object in front of the background allows the two dimensional image to be converted to three dimensions.

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.