Abstract: Disclosed are systems and methods for compositing an augmented reality scene, the methods including the steps of extracting, by an extraction component into a memory of a data-processing machine, at least one object from a real-world image detected by a sensing device; geometrically reconstructing at least one virtual model from at least one object; and compositing AR content from at least one virtual model in order to augment the AR content on the real-world image, thereby creating AR scene. Preferably, the method further includes; extracting at least one annotation from the real-world image into the memory of the data-processing machine for modifying at least one virtual model according to at least one annotation. Preferably, the method further includes: interacting with AR scene by modifying AR content based on modification of at least one object and/or at least one annotation in the real-world image.

Abstract: Disclosed are systems and methods for compositing an augmented reality scene, the methods including the steps of extracting, by an extraction component into a memory of a data-processing machine, at least one object from a real-world image detected by a sensing device; geometrically reconstructing at least one virtual model from at least one object; and compositing AR content from at least one virtual model in order to augment the AR content on the real-world image, thereby creating AR scene. Preferably, the method further includes; extracting at least one annotation from the real-world image into the memory of the data-processing machine for modifying at least one virtual model according to at least one annotation. Preferably, the method further includes: interacting with AR scene by modifying AR content based on modification of at least one object and/or at least one annotation in the real-world image.

Abstract: Disclosed are systems and methods for compositing an augmented reality scene, the methods including the steps of extracting, by an extraction component into a memory of a data-processing machine, at least one object from a real-world image detected by a sensing device; geometrically reconstructing at least one virtual model from at least one object; and compositing AR content from at least one virtual model in order to augment the AR content on the real-world image, thereby creating AR scene. Preferably, the method further includes; extracting at least one annotation from the real-world image into the memory of the data-processing machine for modifying at least one virtual model according to at least one annotation. Preferably, the method further includes: interacting with AR scene by modifying AR content based on modification of at least one object and/or at least one annotation in the real-world image.

Abstract: The present system provides an on the fly simple to complex 6DOF registration approach using the direct method. On the fly means it does not require training time, a user points a phone/camera to a planar surface and can start tracking it instantly. Simple to complex means the system performs registration in multiple levels of complexity from 2DOF to 6DOF. By increasing the complexity model the system enables more surfaces to be tracked and for surfaces that are tracked the system can avoid local minima solution providing a more robust and accurate 6DOF tracking. Even surfaces that are very weak in features can be tracked in 6DOF and virtual content can be registered to them. The system enables playing Augmented Reality games on low-end devices such as mobile phones on almost any surface in the real world.

Abstract: The present system provides an on the fly simple to complex 6DOF registration approach using the direct method. On the fly means it does not require training time, a user points a phone/camera to a planar surface and can start tracking it instantly. Simple to complex means the system performs registration in multiple levels of complexity from 2DOF to 6DOF. By increasing the complexity model the system enables more surfaces to be tracked and for surfaces that are tracked the system can avoid local minima solution providing a more robust and accurate 6DOF tracking. Even surfaces that are very weak in features can be tracked in 6DOF and virtual content can be registered to them. The system enables playing Augmented Reality games on low-end devices such as mobile phones on almost any surface in the real world.

Abstract: The present disclosure relates to systems and methods for tracking planar shapes for augmented-reality (AR) applications. Systems for real-time recognition and camera six degrees of freedom pose-estimation from planar shapes are disclosed. Recognizable shapes can be augmented with 3D content. Recognizable shapes can be in form of a predefined library being updated online using a network. Shapes can be added to the library when the user points to a shape and asks the system to start recognizing it. The systems perform shape recognition by analyzing contour structures and generating projective invariant signatures. Image features are further extracted for pose estimation and tracking. Sample points are matched by evolving an active contour in real time.

Abstract: Disclosed are systems and methods for compositing an augmented reality scene, the methods including the steps of extracting, by an extraction component into a memory of a data-processing machine, at least one object from a real-world image detected by a sensing device; geometrically reconstructing at least one virtual model from at least one object; and compositing AR content from at least one virtual model in order to augment the AR content on the real-world image, thereby creating AR scene. Preferably, the method further includes; extracting at least one annotation from the real-world image into the memory of the data-processing machine for modifying at least one virtual model according to at least one annotation. Preferably, the method further includes: interacting with AR scene by modifying AR content based on modification of at least one object and/or at least one annotation in the real-world image.

Abstract: The present system discloses systems and methods for tracking planar shapes for augmented-reality (AR) applications. Systems for real-time recognition and camera six degrees of freedom pose-estimation from planar shapes are disclosed. Recognizable shapes can be augmented with 3D content. Recognizable shapes can be in form of a predefined library being updated online using a network. Shapes can be added to the library when the user points to a shape and asks the system to start recognizing it. The systems perform shape recognition by analyzing contour structures and generating projective invariant signatures. Image features are further extracted for pose estimation and tracking. Sample points are matched by evolving an active contour in real time.