Magic Leap, Inc.

Motorola Corporation

Other

Motorola Mobility LLC

Motorola Solutions, Inc.

Google Technology Holdings LLC

Brian Keith Smith

Gregory Michael Link

Floyd D Simpson

Timothy J Wilson

Koon Keong Shee

Carlos A Rivera Cintron

Ilya Tsunaev

Nicole Elizabeth Samec

Mark Baerenrodt

James M Powderly

Christopher M Harrises

Savannah Niles

Stephen P Emeott

Nastasja U Robaina

Jose Felix Rodriguez

Matthew Thomas Hull

Ali Amirhooshmand

Aparna Pandey

Michael H Baker

Valeriy F Marchevsky

Christian Ivan Robert Moore

Huai Y Wang

Dennis A Moon

Suhas Mitra

Michael Scott Pieper

Neil R Lincoln

Michael T C Johnson

Ningsheng Huang

Brian Lincoln

John R Makosky

Elizabeth Wiethoff

Shih-Che Huang

Steven Wayne Whisenhunt

Robert P Kelly

Satish Ramprasad

Srinath Subramanian

Rex Filstrup

Rolf D Miller

Eric Christeson

Cintron Carlos A Rivera

Timothy Wilson

A method includes receiving a first image captured by a content capture device included in a mixed reality or augmented reality device, identifying a location corresponding to a pixel group of a plurality of pixel groups in the first image, and determining, for each location, one or more updates for one or more settings of the content capture device. The method also includes iteratively: updating the content capture device using an update of the one or more updates, capturing an image of a predetermined number of images using the content capture device and the update of the one or more updates, and repeating updating the content capture device and capturing the image the predetermined number of times. The method also includes stitching the predetermined number of images together to form a composite image.

Techniques for determining settings for a content capture device

A system and method for operating a depth sensor. A configuration operation can be performed by storing a first sequence of operation steps which define a first depth sensing mode of operation, and a second sequence of operation steps which define a second depth sensing mode of operation, in the memory. In response to a first request for depth measurements according to the first depth sensing mode of operation, the depth sensor can be operated in the first mode of operation by causing it to execute the first sequence of operation steps. In response to a second request for depth measurements according to the second depth sensing mode of operation, and without performing an additional configuration operation, the depth sensor can be operated in the second mode of operation by causing it to execute the second sequence of operation steps.

Depth sensing techniques for virtual, augmented, and mixed reality systems

A head mounted display system can process images by assessing relative motion between the head mounted display and one or more features in a user's environment. The assessment of relative motion can include determining whether the head mounted display has moved, is moving and/or is expected to move with respect to one or more features in the environment. Additionally or alternatively, the assessment can include determining whether one or more features in the environment have moved, are moving and/or are expected to move relative to the head mounted display. The image processing can further include determining one or more virtual image content locations in the environment that correspond to a location where renderable virtual image content appears to a user when the location appears in the display and comparing the one or more virtual image content locations in the environment with a viewing zone.

Augmented reality display with frame modulation functionality

A method for computing a total weight array includes receiving an image frame captured by a content capture device and identifying a plurality of objects in the image frame. Each object of the plurality of objects corresponds to one of a plurality of pixel groups. The method also includes providing a plurality of neural networks and calculating, for each object of the plurality of objects, an object weight using a corresponding neural network of the plurality of neural networks. The method further includes computing the total weight array by summing the object weight for each of the plurality of objects.

Embodiments of a wearable device can include a head-mounted display (HMD) which can be configured to display virtual content. While the user is interacting with visual or audible virtual content, the user of the wearable may encounter a triggering event such as, for example, an emergency condition or an unsafe condition, detecting one or more triggering objects in an environment, or determining characteristics of the user's environment (e.g., home or office). Embodiments of the wearable device can automatically detect the triggering event and automatically control the HMD to deemphasize, block, or stop displaying the virtual content. The HMD may include a button that can be actuated by the user to manually deemphasize, block, or stop displaying the virtual content.

Automatic control of wearable display device based on external conditions

A method includes capturing an image using a content capture device with an initial image setting. The image includes a plurality of pixel groups, and a pixel group can have one or more pixels. A plurality of edge pixel groups is identified and then classified into two subsets. A first subset of saturated edge pixel groups includes edge pixel groups that have at least one neighboring pixel group with an image intensity exceeding a saturated intensity value. A second subset of non-saturated edge pixel groups includes edge pixel groups that have no neighboring pixel groups with an image intensity exceeding a saturated intensity value. An adjustment value to the image setting is determined based on a total number of saturated edge pixel groups and a total number of non-saturated edge pixel groups. An updated image is captured with an updated image setting based on the adjustment value.

Gradient-based exposure and gain control techniques

A system and method for operating a sensor which has at least two modes of operation. The sensor may be provided with one or more common operation steps to be used in both a first mode of operation and a second mode of operation. The sensor may also be provided with one or more dummy operation steps to be used in the second mode of operation but not the first mode of operation. The dummy operation steps can convert the first mode of operation to the second mode of operation when used with the one or more common operation steps.

Provided are methods, systems, and computer-program products for determining one or more settings of a content capture device. In some examples, to determine the one or more settings, luma values of pixels of an image from the content capture device may be identified. Objects in the image and information associated with the objects may also be identified. The information associated with the objects may be divided into categories of the information. And using the objects and the information, a separate weight array for each category of the information may be computed. The separate weight arrays may be combined to create a total weight array to augment the luma values. The augmented luma values may be aggregated to compute a weighted luma average for the image. Based upon a difference of the weighted luma average and a target, the one or more settings may be adjusted.

A system and method for operating a sensor which has at least two modes of operation. The sensor may be provided with a sequence of common operation steps which are included in both a first sequence of operation steps which define a first mode of operation and a second sequence of operation steps which define a second mode of operation. The sensor may also be provided with one or more dummy operation steps which relate to the difference between the first mode of operation and the second mode of operation. The sensor can be operated in the first mode of operation by causing it to execute at least the common operation steps and it can be operated in the second mode of operation by causing it to execute the common operation steps and at least one dummy operation step.

An apparatus includes digital camera equipment and a display that provides a viewfinder. A processor that is operatively coupled to the camera equipment, and to the display, controls the camera equipment and the display to provide a custom reticle that defines a region-of-interest having a shape corresponding to an object-of-interest as the object-of-interest appears in the viewfinder. One or more object templates may be stored in memory. The object templates contain location information and size information for one or more objects-of-interest in a geographic region where the apparatus is located. The processor may construct the custom reticle using one or more of the object templates. The processor can determine that an object-of-interest is displayed in the viewfinder and construct a custom reticle for that particular object-of-interest.

Digital camera apparatus with dynamically customized focus reticle and automatic focus reticle positioning

A method for preventing co-channel operation with a radar system includes the steps of setting a state of a first communication channel to active, connecting to a first wireless access point on the first communication channel, passively scanning at least a second communication channel for communication from a second wireless access point, setting a state of the second channel to active if frames are received on the second channel, determining whether an elapsed time since frames were received on at least one of the first channel and the second channel has exceed a predefined value, and in response to the predefined value being exceeded for at least one of the first channel and the second channel, setting the state of a corresponding one of the first channel and the second channel to passive.

Method for preventing co-channel operation with radar systems

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Wellington, FL, United States of America

Brian Keith Smith