Patent application number | Description | Published |
20120206452 | REALISTIC OCCLUSION FOR A HEAD MOUNTED AUGMENTED REALITY DISPLAY - Technology is described for providing realistic occlusion between a virtual object displayed by a head mounted, augmented reality display system and a real object visible to the user's eyes through the display. A spatial occlusion in a user field of view of the display is typically a three dimensional occlusion determined based on a three dimensional space mapping of real and virtual objects. An occlusion interface between a real object and a virtual object can be modeled at a level of detail determined based on criteria such as distance within the field of view, display size or position with respect to a point of gaze. Technology is also described for providing three dimensional audio occlusion based on an occlusion between a real object and a virtual object in the user environment. | 08-16-2012 |
20120308140 | SYSTEM FOR RECOGNIZING AN OPEN OR CLOSED HAND - A system and method are disclosed relating to a pipeline for generating a computer model of a target user, including a hand model of the user's hands, captured by an image sensor in a NUI system. The computer model represents a best estimate of the position of a user's hand or hands and whether the hand or hand is in an open or closed state. The generated hand model may be used by a gaming or other application to determine such things as user gestures and control actions. | 12-06-2012 |
20120309532 | SYSTEM FOR FINGER RECOGNITION AND TRACKING - A system and method are disclosed relating to a pipeline for generating a computer model of a target user, including a hand model of the user's hands and fingers, captured by an image sensor in a NUI system. The computer model represents a best estimate of the position and orientation of a user's hand or hands. The generated hand model may be used by a gaming or other application to determine such things as user gestures and control actions. | 12-06-2012 |
20120314031 | INVARIANT FEATURES FOR COMPUTER VISION - Technology is described for determining and using invariant features for computer vision. A local orientation may be determined for each depth pixel in a subset of the depth pixels in a depth map. The local orientation may an in-plane orientation, an out-out-plane orientation or both. A local coordinate system is determined for each of the depth pixels in the subset based on the local orientation of the corresponding depth pixel. A feature region is defined relative to the local coordinate system for each of the depth pixels in the subset. The feature region for each of the depth pixels in the subset is transformed from the local coordinate system to an image coordinate system of the depth map. The transformed feature regions are used to process the depth map. | 12-13-2012 |
20120327089 | Fully Automatic Dynamic Articulated Model Calibration - A depth sensor obtains images of articulated portions of a user's body such as the hand. A predefined model of the articulated body portions is provided. The model is matched to corresponding depth pixels which are obtained from the depth sensor, to provide an initial match. The initial match is then refined using distance constraints, collision constraints, angle constraints and a pixel comparison using a rasterized model. Distance constraints include constraints on distances between the articulated portions of the hand. Collision constraints can be enforced when the model meets specified conditions, such as when at least two adjacent finger segments of the model are determined to be in a specified relative position, e.g., parallel. The rasterized model includes depth pixels of the model which are compared to identify overlapping pixels. Dimension of the articulated portions of the model are individually adjusted. | 12-27-2012 |
20130141597 | CONTROLLING POWER CONSUMPTION IN OBJECT TRACKING PIPELINE - Embodiments related to detecting object information from image data collected by an image sensor are disclosed. In one example embodiment, the object information is detected by receiving a frame of image data from the image sensor and detecting a change in a threshold condition related to an object within the frame. The embodiment further comprises adjusting a setting that changes a power consumption of the image sensor in response to detecting the threshold condition. | 06-06-2013 |
20130286004 | DISPLAYING A COLLISION BETWEEN REAL AND VIRTUAL OBJECTS - Technology is described for displaying a collision between objects by an augmented reality display device system. A collision between a real object and a virtual object is identified based on three dimensional space position data of the objects. At least one effect on at least one physical property of the real object is determined based on physical properties of the real object, like a change in surface shape, and physical interaction characteristics of the collision. Simulation image data is generated and displayed simulating the effect on the real object by the augmented reality display. Virtual objects under control of different executing applications can also interact with one another in collisions. | 10-31-2013 |
20130329011 | Probabilistic And Constraint Based Articulated Model Fitting - A depth sensor obtains images of articulated portions of a user's body such as the hand. A predefined model of the articulated body portions is provided. Representative attract points of the model are matched to centroids of the depth sensor data, and a rigid transform of the model is performed, in an initial, relatively coarse matching process. This matching process is then refined in a non-rigid transform of the model, using attract point-to-centroid matching. In a further refinement, an iterative process rasterizes the model to provide depth pixels of the model, and compares the depth pixels of the model to the depth pixels of the depth sensor. The refinement is guided by whether the depth pixels of the model are overlapping or non-overlapping with the depth pixels of the depth sensor. Collision, distance and angle constraints are also imposed on the model. | 12-12-2013 |
20140002607 | INVARIANT FEATURES FOR COMPUTER VISION | 01-02-2014 |