Abstract: The invention provides methods of detecting and describing features from an intensity image. In one of several aspects, the method comprises the steps of providing an intensity image captured by a capturing device, providing a method for determining a depth of at least one element in the intensity image, in a feature detection process detecting at least one feature in the intensity image, wherein the feature detection is performed by processing image intensity information of the intensity image at a scale which depends on the depth of at least one element in the intensity image, and providing a feature descriptor of the at least one detected feature. For example, the feature descriptor contains at least one first parameter based on information provided by the intensity image and at least one second parameter which is indicative of the scale.

Abstract: A method for analyzing an image of a real object, generated by at least one camera includes the following steps: generating at least a first image by the camera capturing at least one real object, defining a first search domain comprising multiple data sets of the real object, each of the data sets being indicative of a respective portion of the real object, and analyzing at least one characteristic property of the first image with respect to the first search domain, in order to determine whether the at least one characteristic property corresponds to information of at least a particular one of the data sets of the first search domain. If it is determined that the at least one characteristic property corresponds to information of at least a particular one of the data sets, a second search domain comprising only the particular one of the data sets is defined and the second search domain is used for analyzing the first image and/or at least a second image.

Abstract: A method and information system for capturing signals, for processing signals, and for providing signals at least partially based on, or bearing correlation to, the captured signals is disclosed. The information system includes a signal input unit, a wireless communication unit, and an output unit. The signal input unit (preferably an optical signal unit) is constructed and is positionable to capture signals associated with an eye. The output unit is constructed to provide information based on the captured signals or to provide information as a function of the captured signals or in correlation with the captured signals.

Abstract: The invention is related to a method for registering at least one part of a first image and of a second image, including the steps of providing a first image of the real environment and a coordinate system associated to the first image, a second image of the real environment, and measurements of orientation and/or distance of a capturing device with respect to the real environment while capturing the second image. A collineation warping function is then determined from the measurements associated to at least one part of the second image.

Abstract: A method for analyzing an image of a real object, particularly a printed media object, generated by at least one camera comprises the following steps: generating at least a first image by the camera capturing at least one real object, defining a first search domain comprising multiple data sets of the real object, each of the data sets being indicative of a respective portion of the real object, and analyzing at least one characteristic property of the first image of the camera with respect to the first search domain, in order to determine whether the at least one characteristic property corresponds to information of at least a particular one of the data sets of the first search domain.

Abstract: The invention is directed to a method and system for displaying an image generated by at least one camera (11) on an image displaying means (13), comprising the steps of generating at least one image (15) by the camera (11) capturing at least one real object (12), displaying the image (15) on the image displaying means (13), analysing (2.1A, 2.1B, 2.1C) at least one characteristic property of the at least one image and/or of the camera when generating the image, and automatically determining whether the at least one image (15) is to be displayed on the image displaying means (13) in mirrored fashion, or not, depending on the at least one characteristic property. The method and system is capable of automatically determining whether the at least one image is to be displayed in mirrored fashion, or not, depending on the particular situation.

Abstract: A method for determining a parameter set which is designed to be used for determining the pose of a camera with regard to at least one real object and/or for determining a three-dimensional structure of the at least one real object, comprises the steps of providing a reference image including at least a part of the at least one real object, capturing at least one current image including at least a part of the at least one real object, providing an initial estimate of a parameter set which is including at least the three-dimensional translation in the common coordinate system between the pose of the camera when capturing the reference image and the pose of the camera when capturing the current image, and the depth of at least a first point of the at least one real object in the common coordinate system, and determining an update of the estimate of the parameter set by means of an iterative minimization process, wherein in the iterative minimization process a first set of pixels in the reference image is compar

Abstract: A method for determining correspondences between a first and a second image, comprising the steps providing a first image and a second image of the real environment, defining a warping function between the first and second image, determining the parameters of the warping function between the first image and the second image by means of an image registration method, determining a third image by applying the warping function with the determined parameters to the first image, determining a matching result by matching the third image and the second image, and determining correspondences between the first and the second image using the matching result and the warping function with the determined parameters. The method may be used in a keyframe based method for determining the pose of a camera based on the determined correspondences.

Abstract: A mark which at least reflects or radiates invisible light of predetermined wavelength other than visible light is added in a space of the real world. A camera apparatus comprises image capturing means for capturing a real image in which an invisible-light image may be discriminating. An image processing apparatus, comprises: mark discriminating means for discriminating at least one condition of a position of image of mark in the captured real image, a orientation of the mark, and a distance from the mark to the image capturing means, and overlaying condition determining means for determining, in correspondence with the discriminated condition, a overlaying condition which is at least one of an overlaying position which is a position of the image of the virtual object overlaid on the captured real image in the real image, an orientation of the virtual object which the image of the virtual object indicates, and a distance from a view point of viewer, of the image of the virtual object.

Abstract: An apparatus for providing an estimate for a 3D camera pose relative to a scene from 2D image data of a 2D image frame provided by the camera is provided, the apparatus using four types of observations: (a) detected 2D-3D point correspondences; (b) tracked 2D-3D point correspondences; (c) motion model observations; and (d) edge observations.

Abstract: In a device or a method for determining the direction of vision of an eye, a starting point or a final point of a light beam reflected by a part of the eye and detected by a detector system, or of a light beam projected by a projection system onto or into the eye two-dimensionally, describes a pattern of a scanning movement in the eye. The inventive method uses a displacement device that guides the center of the pattern of movement into the pupil or macula center of the eye, and a determination device that uses the pattern of movement of the scanning movement to determine the pupil center or macula center.

Abstract: An apparatus for providing an estimate for a 3D camera pose relative to a scene from 2D image data of 2D image frame provided by said camera. A candidate 2D key points detector determines candidate 2D key points from the 2D image frame. A detected 3D observations detector determines detected 3D observations from pre-recorded scene data and the candidate 2D key points. A detected 3D camera pose estimator determines a detected 3D camera pose estimate from the camera data, the detected 3D observations and the candidate 2D key points. A first storage stores the detected 2D candidate key points and the 2D image data, and outputs in response to a 3D camera pose estimate output previous 2D image data and candidate 2D key points related to a previous 3D camera pose estimate output. A second storage stores and outputs a previous 3D camera pose estimate.

Abstract: A method of displaying virtual information in a view of a real environment comprising the following steps: providing a system for displaying of virtual information in a view of a real environment, determining a current pose of at least one part of the system relative to at least one part of the real environment and providing accuracy information of the current pose, providing multiple pieces of virtual information, and assigning a respective one of the pieces of virtual information to one of different parameters indicative of different pose accuracy information, and displaying at least one of the pieces of virtual information in the view of the real environment according to the accuracy information of the current pose in relation to the assigned parameter of the at least one of the pieces of virtual information.

Abstract: In a device or a method for determining the direction of vision of an eye, a starting point or a final point of a light beam reflected by a part of the eye and detected by a detector system, or of a light beam projected by a projection system onto or into the eye two-dimensionally, describes a pattern of a scanning movement in the eye. The inventive method uses a displacement device that guides the center of the pattern of movement into the pupil or macula center of the eye, and a determination device that uses the pattern of movement of the scanning movement to determine the pupil center or macula center.

Abstract: In a device or a method for determining the direction of vision of an eye, a starting point or a final point of a light beam reflected by a part of the eye and detected by a detector system, or of a light beam projected by a projection system onto or into the eye two-dimensionally, describes a pattern of a scanning movement in the eye. The inventive method uses a displacement device that guides the center of the pattern of movement into the pupil or macula center of the eye, and a determination device that uses the pattern of movement of the scanning movement to determine the pupil center or macula center.

Abstract: A method for determining the pose of a camera (22, 32) relative to a real environment (40) comprises the following steps: taking at least one image (50) of a real environment by means of a camera (22, 32), the image containing at least part of a real object (41), performing a tracking method that evaluates information with respect to correspondences between features associated with the real object (41) and corresponding features of the real object (41) as it is contained in the image (50) of the real environment, so as to obtain conclusions about the pose of the camera (22, 32), determining at least one parameter of an environmental situation, and performing the tracking method in accordance with the at least one parameter. Analogously, the method can also be utilized in a method for recognizing an object of a real environment in an image taken by a camera.

Abstract: A method for representing virtual information in a view of a real environment comprises the following steps: providing at least one virtual object (10) having a global position and orientation with respect to a geographic global coordinate system (200), together with first pose data (PW10) permitting a conclusion to be made on the global position and orientation of the virtual object, in a database (3) of a server (2), taking at least one image (50) of a real environment (40) by means of a mobile device (30) and providing second pose data (PW50) permitting a conclusion to be made as to at which position and with which orientation with respect to the geographic global coordinate system (200) the image was taken, displaying the image (50) on a display (31) of the mobile device, accessing the virtual object (10) in the database (3) of the server (2) and positioning the virtual object (10) in the image (50) shown on the display on the basis of the first and second pose data (PW10, PW50), manipulating the virtual

Abstract: A method of providing a descriptor for at least one feature of an image comprises the steps of providing an image captured by a capturing device and extracting at least one feature from the image, and assigning a descriptor to the at least one feature, the descriptor depending on at least one parameter which is indicative of an orientation, wherein the at least one parameter is determined from the orientation of the capturing device measured by a tracking system. The invention also relates to a method of matching features of two or more images.

Abstract: The invention relates to a method for ergonomically representing virtual information in a real environment, comprising the following steps: providing at least one view of a real environment and of a system setup for blending in virtual information for superimposing with the real environment in at least part of the view, the system setup comprising at least one display device, ascertaining a position and orientation of at least one part of the system setup relative to at least one component of the real environment, subdividing at least part of the view of the real environment into a plurality of regions comprising a first region and a second region, with objects of the real environment within the first region being placed closer to the system setup than objects of the real environment within the second region, and blending in at least one item of virtual information on the display device in at least part of the view of the real environment, considering the position and orientation of said at least one part of

Abstract: A method for determining the pose of a camera with respect to at least one real object, the method comprises the following steps: operating the camera (1) for capturing a 2-dimensional (or 3-dimensional) image (4) including at least a part of the real object (3), providing a transformation matrix (T) which includes information regarding a correspondence between 3-dimensional points (Pi*) associated with the real object (3) and corresponding 2-dimensional points (or 3-dimensional points) (p,) of the real object (5) as included in the 2-dimensional (or 3-dimensional) image (4), and determining an initial estimate of the transformation matrix (Tl) as an initial basis for an iterative minimization process used for iteratively refining the transformation matrix, determining a Jacobian matrix (J) which includes information regarding the initial estimate of the transformation matrix (Tl) and reference values of 3-dimensional points (Pi*) associated with the real object (3).