Abstract: Systems and methods for repeat photography and difference extraction that help users take pictures from the same position and camera angle as earlier photos. The system automatically extracts differences between the photos. Camera poses are estimated and then indicators are rendered to show the desired camera angle, which guide the user to the same camera angle for repeat photography. Using 3D rendering techniques, photos are virtually projected onto a 3D model to adjust them and improve the match between the photos, and the difference between the two photos are detected and highlighted. Highlighting the detected differences helps users to notice the differences.

Abstract: Systems and methods for repeat photography and difference extraction that help users take pictures from the same position and camera angle as earlier photos. The system automatically extracts differences between the photos. Camera poses are estimated and then indicators are rendered to show the desired camera angle, which guide the user to the same camera angle for repeat photography. Using 3D rendering techniques, photos are virtually projected onto a 3D model to adjust them and improve the match between the photos, and the difference between the two photos are detected and highlighted. Highlighting the detected differences helps users to notice the differences.

Abstract: Systems and methods are described for creating virtual models, primarily through actions taken in actual 3D physical space. For many applications, such systems are more natural to users and may provide a greater sense of reality than can be achieved by editing a virtual model at a computer display, which requires the use of manipulations of a 2D display to effect 3D changes. Actions are taken (markup is drawn or laid out, etc.) in a physical workspace. Such physical workspaces may in fact be identical to the space being modeled, small physical scale models of the space, or even a whiteboard or set of papers or objects which get mapped onto the space being modeled.