Abstract: The technology described herein splits the control focus of a user interface during a sustained user interaction. A sustained user interaction is an interaction action lasting more than a threshold period of time. The sustained interaction is initiated when the user directs the control focus of an interface onto an interface object and begins an interaction with the object. Upon determining that a sustained interaction has begun, a control focus lock is executed at the point of control focus where the sustained interaction began, for example, the point where the cursor was located when the sustained interaction began. Upon termination of the sustained interaction, the primary control focus is snapped to the location of the secondary control focus and a secondary control focus is terminated until a subsequent sustained interaction is detected.

Abstract: Aspects of the technology described herein can insert a 2D object into a 3D environment utilizing a monoscopic view with controlled convergence. An exemplary computing device may use a depth regulator to determine a depth associated with a stereoscopic view. Moreover, a view converter in the exemplary computing device can transform the stereoscopic view into a monoscopic view with a controlled convergence distance. Further, a display configurator in the exemplary computing device can cause an external object to be displayed in the monoscopic view.

Abstract: An active illumination range camera that acquires a range and a picture image of a scene and provides a reflectance for a feature in the scene responsive to a distance for the feature provided by the range image, a registered irradiance for the feature provided by the picture image and registered irradiance for a region of a calibration surface corresponding to the feature provided by an image of the calibration surface acquired by the range camera.

Abstract: Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. In certain embodiments, one or more average extremity positions of a user, which can also be referred to as average positions of extremity blobs, are extracted from a depth image. An application is then updated based on the average positions of extremity blobs.

Abstract: The technology described herein splits the control focus of a user interface during a sustained user interaction. A sustained user interaction is an interaction action lasting more than a threshold period of time. The sustained interaction is initiated when the user directs the control focus of an interface onto an interface object and begins an interaction with the object. Upon determining that a sustained interaction has begun, a control focus lock is executed at the point of control focus where the sustained interaction began, for example, the point where the cursor was located when the sustained interaction began. Upon termination of the sustained interaction, the primary control focus is snapped to the location of the secondary control focus and a secondary control focus is terminated until a subsequent sustained interaction is detected.

Abstract: Aspects of the technology described herein can insert a 2D object into a 3D environment utilizing a monoscopic view with controlled convergence. An exemplary computing device may use a depth regulator to determine a depth associated with a stereoscopic view. Moreover, a view converter in the exemplary computing device can transform the stereoscopic view into a monoscopic view with a controlled convergence distance. Further, a display configurator in the exemplary computing device can cause an external object to be displayed in the monoscopic view.

Abstract: Embodiments described herein can be used to detect holes in a subset of pixels of a depth image that has been specified as corresponding to a user, and to fill such detected holes. Additionally, embodiments described herein can be used to produce a low resolution version of a subset of pixels that has been specified as corresponding to a user, so that when an image including a representation of the user is displayed, the image respects the shape of the user, yet is not a mirror image of the user. Further, embodiments described herein can be used to identify pixels, of a subset of pixels specified as corresponding to the user, that likely correspond to a floor supporting the user. This enables the removal of the pixels, identified as likely corresponding to the floor, from the subset of pixels specified as corresponding to the user.

Abstract: Among other disclosed subject matter, a computer program product is tangibly embodied in a computer-readable storage medium and includes instructions that when executed by a processor perform a method for detecting collision between objects. The method includes identifying a first edge of a first object, and a second edge of a second object, presented on a display, the second object associated with a transformation. The method includes performing an inverse of the transformation on the first object while not performing the transformation on the second object. The method includes generating an output on the display that indicates whether the first and second objects collide, the output based on performing the inverse of the transformation.

Abstract: Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. In certain embodiments, one or more average extremity positions of a user, which can also be referred to as average positions of extremity blobs, are extracted from a depth image. An application is then updated based on the average positions of extremity blobs.

Abstract: An active illumination range camera that acquires a range and a picture image of a scene and provides a reflectance for a feature in the scene responsive to a distance for the feature provided by the range image, a registered irradiance for the feature provided by the picture image and registered irradiance for a region of a calibration surface corresponding to the feature provided by an image of the calibration surface acquired by the range camera.

Abstract: Aspects described herein include a computer-implemented method for detecting heart rate signals. The method includes a step of capturing a first image and a second image of a region of interest. The second image is aligned with the first image in a first spectrum that is insensitive to a characteristic to obtain a correction. Then, a correction based upon the above-mentioned alignment is applied to the second image in a second spectrum that is sensitive to the characteristic. Additional aspects described an image capturing device and a computer-implemented method for updating a user-interactive activity.

Abstract: A sequence of images is processed to interpret movements of a user. The user's contour and center of gravity are determined and tracked. Based on points of contact between the user and the environment, and upon tracked movement of the center of gravity, forces impressed by the user upon the points of contact with the environment may be deduced by constraint analysis. This center-of-mass model of user movements may be used in conjunction with a skeletal model of the user to provide verification of the validity of the skeletal model. The center-of-mass model may also be used alternatively with the skeletal model fails during those times when use of the skeletal model is problematic.

Abstract: Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. In certain embodiments, information indicative of an angle and/or curvature of a user's body is extracted from a depth image. This can be accomplished by fitting a curve to a portion of a plurality of pixels (of the depth image) that correspond to the user, and determining the information indicative of the angle and/or curvature of the user's body based on the fitted curve. An application is then updated based on the information indicative of the angle and/or curvature of the user's body. In certain embodiments, one or more average extremity positions of a user, which can also be referred to as average positions of extremity blobs, are extracted from a depth image. An application is then updated based on the average positions of extremity blobs.

Abstract: Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. In certain embodiments, information indicative of an angle and/or curvature of a user's body is extracted from a depth image. This can be accomplished by fitting a curve to a portion of a plurality of pixels (of the depth image) that correspond to the user, and determining the information indicative of the angle and/or curvature of the user's body based on the fitted curve. An application is then updated based on the information indicative of the angle and/or curvature of the user's body. In certain embodiments, one or more average extremity positions of a user, which can also be referred to as average positions of extremity blobs, are extracted from a depth image. An application is then updated based on the average positions of extremity blobs.

Abstract: Embodiments described herein can be used to detect holes in a subset of pixels of a depth image that has been specified as corresponding to a user, and to fill such detected holes. Additionally, embodiments described herein can be used to produce a low resolution version of a subset of pixels that has been specified as corresponding to a user, so that when an image including a representation of the user is displayed, the image respects the shape of the user, yet is not a mirror image of the user. Further, embodiments described herein can be used to identify pixels, of a subset of pixels specified as corresponding to the user, that likely correspond to a floor supporting the user. This enables the removal of the pixels, identified as likely corresponding to the floor, from the subset of pixels specified as corresponding to the user.

Abstract: Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. In certain embodiments, information indicative of an angle and/or curvature of a user's body is extracted from a depth image. This can be accomplished by fitting a curve to a portion of a plurality of pixels (of the depth image) that correspond to the user, and determining the information indicative of the angle and/or curvature of the user's body based on the fitted curve. An application is then updated based on the information indicative of the angle and/or curvature of the user's body. In certain embodiments, one or more average extremity positions of a user, which can also be referred to as average positions of extremity blobs, are extracted from a depth image. An application is then updated based on the average positions of extremity blobs.

Abstract: Embodiments described herein can be used to detect holes in a subset of pixels of a depth image that has been specified as corresponding to a user, and to fill such detected holes. Additionally, embodiments described herein can be used to produce a low resolution version of a subset of pixels that has been specified as corresponding to a user, so that when an image including a representation of the user is displayed, the image respects the shape of the user, yet is not a mirror image of the user. Further, embodiments described herein can be used to identify pixels, of a subset of pixels specified as corresponding to the user, that likely correspond to a floor supporting the user. This enables the removal of the pixels, identified as likely corresponding to the floor, from the subset of pixels specified as corresponding to the user.

Abstract: Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. A depth-based center-of-mass position is determined for the plurality of pixels that correspond to the user. Additionally, a depth-based inertia tensor can also be determined for the plurality of pixels that correspond to the user. In certain embodiments, the plurality of pixels that correspond to the user are divided into quadrants and a depth-based quadrant center-of-mass position is determined for each of the quadrants. Additionally, a depth-based quadrant inertia tensor can be determined for each of the quadrants. Based on one or more of the depth-based center-of-mass position, the depth-based inertial tensor, the depth-based quadrant center-of-mass positions or the depth-based quadrant inertia tensors, an application is updated.

Abstract: Embodiments described herein can be used to detect holes in a subset of pixels of a depth image that has been specified as corresponding to a user, and to fill such detected holes. Additionally, embodiments described herein can be used to produce a low resolution version of a subset of pixels that has been specified as corresponding to a user, so that when an image including a representation of the user is displayed, the image respects the shape of the user, yet is not a mirror image of the user. Further, embodiments described herein can be used to identify pixels, of a subset of pixels specified as corresponding to the user, that likely correspond to a floor supporting the user. This enables the removal of the pixels, identified as likely corresponding to the floor, from the subset of pixels specified as corresponding to the user.

Abstract: Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. In certain embodiments, information indicative of an angle and/or curvature of a user's body is extracted from a depth image. This can be accomplished by fitting a curve to a portion of a plurality of pixels (of the depth image) that correspond to the user, and determining the information indicative of the angle and/or curvature of the user's body based on the fitted curve. An application is then updated based on the information indicative of the angle and/or curvature of the user's body. In certain embodiments, one or more average extremity positions of a user, which can also be referred to as average positions of extremity blobs, are extracted from a depth image. An application is then updated based on the average positions of extremity blobs.