Abstract: A vehicle seat depth adjuster (1) includes a base plate (2) connectable to a seat structure (17); a detent unit (8); a carrier plate (3) moveably arranged above the base plate; a locking unit (4) detachably engaging the detent unit; and a drive unit (11) moving the carrier plate. The carrier plate is fixed in relation to the base plate in an engaged position of the locking unit and is moveable, between a retracted position and an extended position in a released position of the locking unit by the drive unit. The detent unit is arranged on the upper side (2.5) of the base plate, which faces the carrier plate, and includes receiving elements (8.1) staggered in the direction (L) of movement. The locking unit includes an unlocking lever (5) with at least one locking tooth (5.1) that engages in one of the detent receiving elements in the engaged position.

Abstract: Human Computer Interfaces (HCI) may allow a user to interact with a computer via a variety of mechanisms, such as hand, head, and body gestures. Various of the disclosed embodiments allow information captured from a depth camera on an HCI system to be used to recognize such gestures. Particularly, by training a classifier using vectors having both base and extended components, more accurate classification results may be subsequently obtained. The base vector may include a leaf-based assessment of the classification results from a forest for a given depth value candidate pixel. The extended vector may include additional information, such as the leaf-based assessment of the classification results for one or more pixels related to the candidate pixel. Various embodiments employ this improved structure with various optimization methods and structure to provide more efficient in-situ operation.

Abstract: Various of the disclosed embodiments present depth-based user interaction systems facilitating natural and immersive user interactions. Particularly, various embodiments integrate immersive visual presentations with natural and fluid gesture motions. This integration facilitates more rapid user adoption and more precise user interactions. Some embodiments may take advantage of the particular form factors disclosed herein to accommodate user interactions. For example, dual depth sensor arrangements in a housing atop the interface's display may facilitate depth fields of view accommodating more natural gesture recognition than may be otherwise possible. In some embodiments, these gestures may be organized into a framework for universal control of the interface by the user and for application-specific control of the interface by the user.

Abstract: Various of the disclosed embodiments present depth-based user interaction systems. By anticipating various installation constraints and factors into the interface's design, various of the disclosed embodiments facilitate benefits such as complementary depth fields of view and display orientation flexibility. Some embodiments include a frame housing for the depth sensors. Within the housing, depth sensors may be affixed to a mount, such that each sensor's field of view is at a disparate angle. These disparate angles may facilitate gesture recognitions that might otherwise be difficult or impossible to achieve. When mounted in connection with a modular unit, the housing may provide a versatile means for integrating multiple module units into a composite interface.

Abstract: Methods, devices, and systems for continuous image capturing are described herein. In one embodiment, a method includes continuously capturing a sequence of images with an image capturing device. The method may further include storing a predetermined number of the sequence of images in a buffer. The method may further include receiving a user request to capture an image. In response to the user request, the method may further include automatically selecting one of the buffered images based on an exposure time of one of the buffered images. The sequence of images is captured prior to or concurrently with receiving the user request.

Abstract: Human Computer Interfaces (HCI) may allow a user to interact with a computer via a variety of mechanisms, such as hand, head, and body gestures. Various of the disclosed embodiments allow information captured from a depth camera on an HCI system to be used to recognize such gestures. Particularly, the HCI system's depth sensor may capture depth frames of the user's movements over time. To discern gestures from these movements, the system may group portions of the user's anatomy represented by the depth data into classes. This grouping may require that the relevant depth data be extracted from the depth frame. Such extraction may itself require that appropriate clipping planes be determined. Various of the disclosed embodiments better establish floor planes from which such clipping planes may be derived.

Abstract: Various of the disclosed embodiments provide Human Computer Interfaces (HCI) that incorporate depth sensors at multiple positions and orientations. The depth sensors may be used in conjunction with a display screen to permit users to interact dynamically with the system, e.g., via gestures. Calibration methods for orienting depth values between sensors are also presented. The calibration methods may generate both rotation and translation transformations that can be used to determine the location of a depth value acquired in one sensor from the perspective of another sensor. The calibration process may itself include visual feedback to direct a user assisting with the calibration. In some embodiments, floor estimation techniques may be used alone or in conjunction with the calibration process to facilitate data processing and gesture identification.

Abstract: A graphics animation and compositing operations framework has a layer tree for interfacing with the application and a render tree for interfacing with a render engine. Layers in the layer tree can be content, windows, views, video, images, text, media or other type of objects for an application's user interface. The application commits state changes of the layers of the layer tree. The application does not need to include explicit code for animating the changes to the layers. Instead, after a synchronization threshold has been met, an animation is determined for animating the change in state by the framework which can define a set of predetermined animations based on motion, visibility and transition. The determined animation is explicitly applied to the affected layers in the render tree. A render engine renders from the render tree into a frame buffer, synchronized with the display. Portions of the render tree changing relative to prior versions can be tracked to improve resource management.

Abstract: At least certain embodiments described herein provide a continuous autofocus mechanism for an image capturing device. The continuous autofocus mechanism can perform an autofocus scan for a lens of the image capturing device and obtain focus scores associated with the autofocus scan. The continuous autofocus mechanism can determine an acceptable band of focus scores based on the obtained focus scores. Next, the continuous autofocus mechanism can determine whether a current focus score is within the acceptable band of focus scores. A refocus scan may be performed if the current focus score is outside of the acceptable band of focus scores.

Abstract: A graphics animation and compositing operations framework has a layer tree for interfacing with the application and a render tree for interfacing with a render engine. Layers in the layer tree can be content, windows, views, video, images, text, media or other type of objects for an application's user interface. The application commits state changes of the layers of the layer tree. The application does not need to include explicit code for animating the changes to the layers. Instead, after a synchronization threshold has been met, an animation is determined for animating the change in state by the framework which can define a set of predetermined animations based on motion, visibility and transition. The determined animation is explicitly applied to the affected layers in the render tree. A render engine renders from the render tree into a frame buffer, synchronized with the display. Portions of the render tree changing relative to prior versions can be tracked to improve resource management.

Abstract: Disclosed is a system for producing images including techniques for reducing the memory and processing power required for such operations. The system provides techniques for programmatically representing a graphics problem. The system further provides techniques for reducing and optimizing graphics problems for rendering with consideration of the system resources, such as the availability of a compatible GPU.

Abstract: A graphics animation and compositing operations framework has a layer tree for interfacing with the application and a render tree for interfacing with a render engine. Layers in the layer tree can be content, windows, views, video, images, text, media or other type of objects for an application's user interface. The application commits state changes of the layers of the layer tree. The application does not need to include explicit code for animating the changes to the layers. Instead, after a synchronization threshold has been met, an animation is determined for animating the change in state by the framework which can define a set of predetermined animations based on motion, visibility and transition. The determined animation is explicitly applied to the affected layers in the render tree. A render engine renders from the render tree into a frame buffer, synchronized with the display. Portions of the render tree changing relative to prior versions can be tracked to improve resource management.

Abstract: Human Computer Interfaces (HCl) may allow a user to interact with a computer via a variety of mechanisms, such as hand, head, and body gestures. Various of the disclosed embodiments allow information captured from a depth camera on an HCl system to be used to recognize such gestures. Particularly, the HCl system's depth sensor may capture depth frames of the user's movements over time. To discern gestures from these movements, the system may group portions of the user's anatomy represented by the depth data into classes. “Features” which reflect distinguishing features of the user's anatomy may be used to accomplish this classification. Some embodiments provide improved systems and methods for generating and/or selecting these features. Features prepared by various of the disclosed embodiments may be less susceptible to overfitting training data and may more quickly distinguish portions of the user's anatomy.

Abstract: Human Computer Interfaces (HCI) may allow a user to interact with a computer via a variety of mechanisms, such as hand, head, and body gestures. Various of the disclosed embodiments allow information captured from a depth camera on an HCI system to be used to recognize such gestures. Particularly, the HCI system's depth sensor may capture depth frames of the user's movements over time. To discern gestures from these movements, the system may group portions of the user's anatomy represented by the depth data into classes. This grouping may require that the relevant depth data be extracted from the depth frame. Such extraction may itself require that appropriate clipping planes be determined. Various of the disclosed embodiments better establish floor planes from which such clipping planes may be derived.

Abstract: At least certain embodiments described herein provide a continuous autofocus mechanism for an image capturing device. The continuous autofocus mechanism can perform an autofocus scan for a lens of the image capturing device and obtain focus scores associated with the autofocus scan. The continuous autofocus mechanism can determine an acceptable band of focus scores based on the obtained focus scores. Next, the continuous autofocus mechanism can determine whether a current focus score is within the acceptable band of focus scores. A refocus scan may be performed if the current focus score is outside of the acceptable band of focus scores.

Abstract: Disclosed is a system for producing images including techniques for reducing the memory and processing power required for such operations. The system provides techniques for programmatically representing a graphics problem. The system further provides techniques for reducing and optimizing graphics problems for rendering with consideration of the system resources, such as the availability of a compatible GPU.

Abstract: Techniques to detect subject and camera motion in a set of consecutively captured image frames are disclosed. More particularly, techniques disclosed herein temporally track two sets of downscaled images to detect motion. One set may contain higher resolution and the other set lower resolution of the same images. For each set, a coefficient of variation may be computed across the set of images for each sample in the downscaled image to detect motion and generate a change mask. The information in the change mask can be used for various applications, including determining how to capture a next image in the sequence.

Abstract: Methods, devices, and systems for continuous image capturing are described herein. In one embodiment, a method includes continuously capturing a sequence of images with an image capturing device. The method may further include storing a predetermined number of the sequence of images in a buffer. The method may further include receiving a user request to capture an image. In response to the user request, the method may further include automatically selecting one of the buffered images based on an exposure time of one of the buffered images. The sequence of images is captured prior to or concurrently with receiving the user request.

Abstract: A graphics animation and compositing operations framework has a layer tree for interfacing with the application and a render tree for interfacing with a render engine. Layers in the layer tree can be content, windows, views, video, images, text, media or other type of objects for an application's user interface. The application commits state changes of the layers of the layer tree. The application does not need to include explicit code for animating the changes to the layers. Instead, after a synchronization threshold has been met, an animation is determined for animating the change in state by the framework which can define a set of predetermined animations based on motion, visibility and transition. The determined animation is explicitly applied to the affected layers in the render tree. A render engine renders from the render tree into a frame buffer, synchronized with the display. Portions of the render tree changing relative to prior versions can be tracked to improve resource management.

Abstract: Methods, devices, and systems for continuous image capturing are described herein. In one embodiment, a method includes continuously capturing a sequence of images with an image capturing device. The method may further include storing a predetermined number of the sequence of images in a buffer. The method may further include receiving a user request to capture an image. In response to the user request, the method may further include automatically selecting one of the buffered images based on an exposure time of one of the buffered images. The sequence of images is captured prior to or concurrently with receiving the user request.