Atheer, Inc.

West Texas Technology Partners, LLC

Other

Allen Yang Yang

Sleiman Itani

Mohamed Nabil Hajj Chehade

Sina Fateh

Ron Butterworth

Iryna Issayeva

Yu-Hsiang Chen

Greg James

Comprehensive 2D learning images are collected for learning subjects. Standardized 2D gallery images of many gallery subjects are collected, one per gallery subject. A 2D query image of a query subject is collected, of arbitrary viewing aspect, illumination, etc. 3D learning models, 3D gallery models, and a 3D query model are determined from the learning, gallery, and query images. A transform is determined for the selected learning model and each gallery model that yields or approximates the query image. The transform is at least partly 3D, such as 3D illumination transfer or 3D orientation alignment. The transform is applied to each gallery model so that the transformed gallery models more closely resemble the query model. 2D transformed gallery images are produced from the transformed gallery models, and are compared against the 2D query image to identify whether the query subject is also any of the gallery subjects.

Method and apparatus for subject identification

A method, apparatus, and device for executing one or more actions by a processing device in response to a positive saturation determination. The method may include: sensing an object that occupies a first portion of a field of view (FOV) of the sensor at a first point in time; determining a first saturation level of the object at the first portion of the FOV; sensing the object that occupies a second portion of the FOV of the sensor at a second point in time; determining a second saturation level of the object at the second portion of the FOV; determining that the first saturation level is different than the second saturation level; and in response to the first saturation level being different than the second saturation level, executing an executable command associated with the first saturation level and the second saturation level.

Methods and apparatuses for controlling a system via a sensor

A data space such as a virtual/augmented reality environment is generated, through which a viewer/point of view may move. The physical world motion of a display outputting the data space is sensed, received, or computed. The motion of a physical world environment in which the display also is sensed, received, or computed. An output adjustment is determined from the display and environment motions, typically being equal to the environment motion(s). Motion of a point of view within the data space to be outputted by the display is determined. The viewpoint motion corresponds with the display motion within physical space adjusted by the output adjustment. At least part of the data space is outputted to the display from the point of view. The point of view is navigated through the data space according to the viewpoint motion.

Method and apparatus for adjusting motion-based data space manipulation

In the method, a processor generates a three dimensional interface with at least one virtual object, defines a stimulus of the interface, and defines a response to the stimulus. The stimulus is an approach to the virtual object with a finger or other end-effector to within a threshold of the virtual object. When the stimulus is sensed, the response is executed. Stimuli may include touch, click, double click, peg, scale, and swipe gestures. The apparatus includes a processor that generates a three dimensional interface with at least one virtual object, and defines a stimulus for the virtual object and a response to the stimulus. A display outputs the interface and object. A camera or other sensor detects the stimulus, e.g. a gesture with a finger or other end-effector, whereupon the processor executes the response. The apparatus may be part of a head mounted display.

Method and apparatus for ego-centric 3D human computer interface

A method, system, apparatus, and/or device for interacting with a three dimensional interface. The method, system, apparatus, and/or device may include: generating a zone associated with a virtual object, wherein the zone includes a first space approximate to at least a portion of the object that is distinct from a second space occupied by the object; determine an uncertainty level of a sensor to identify an input in the zone; in response to the uncertainty level exceeding a first level, increasing a size of the zone, wherein the increased size of the zone increases a precision level of the sensor; and in response to the uncertainty level being below a second level, decreasing the size of the zone, wherein the decreased size of the zone decreases the precision level of the sensor.

Method and apparatus for a three dimensional interface

Embodiments include a method. The method includes maintaining, by a processing device, a real-time context describing a circumstance affecting an object. The method also includes determining a first saturation level of the object within a first portion of the field of view (FOV) of a sensor at a first point in time. The method also includes determining a second saturation level of the object within a second portion of the FOV of the sensor at a second point in time. The method also includes executing, by the processing device, an action to address a positive saturation determination between the first saturation level and the second saturation level.

A system, apparatus, device, or method to output different iterations of data entities. The method may include establishing a first data entity; establishing a first state for the first data entity. The method may include establishing a second state for the first data entity. The method may include storing the first data entity, the first state, and the second state at a storage device. The method may include retrieving a first iteration of the first data entity exhibiting at least a portion of the first state. The method may include retrieving a second iteration of the first data entity exhibiting at least a portion of the second state. The method may include outputting the first iteration and the second iteration at an output time.

Content association and history tracking in virtual and augmented realities

Disclosed are methods and apparatuses to recognize actors during normal system operation. The method includes defining actor input such as hand gestures, executing and detecting input, and identifying salient features of the actor therein. A model is defined from salient features, and a data set of salient features and/or model are retained, and may be used to identify actors for other inputs. A command such as 'unlock' may be executed in response to actor input. Parameters may be applied to further define where, when, how, etc. actor input is executed, such as defining a region for a gesture. The apparatus includes a processor and sensor, the processor defining actor input, identifying salient features, defining a model therefrom, and retaining a data set. A display may also be used to show actor input, a defined region, relevant information, and/or an environment. A stylus or other non-human actor may be used.

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Richmond, CA, United States of America

Allen Yang Yang